<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/hotho/Model"><title>BibSonomy bookmarks for /user/hotho/Model</title><link>https://www.bibsonomy.org/user/hotho/Model</link><description>BibSonomy RSS Feed for /user/hotho/Model</description><items><rdf:Seq><rdf:li rdf:resource="https://github.com/assafelovic/gpt-researcher"/><rdf:li rdf:resource="https://ollama.com/library"/><rdf:li rdf:resource="https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard"/><rdf:li rdf:resource="https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeitr%C3%A4ge/DASC-PM_v1.1.pdf"/><rdf:li rdf:resource="https://github.com/jerryji1993/DNABERT"/><rdf:li rdf:resource="https://github.com/mana438/RNABERT"/><rdf:li rdf:resource="https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf"/><rdf:li rdf:resource="https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/"/><rdf:li rdf:resource="https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html"/><rdf:li rdf:resource="https://bigscience.huggingface.co/"/><rdf:li rdf:resource="https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html"/><rdf:li rdf:resource="https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/"/><rdf:li rdf:resource="https://bellard.org/textsynth/"/><rdf:li rdf:resource="http://gabgoh.github.io/COVID/index.html"/><rdf:li rdf:resource="https://talktotransformer.com"/><rdf:li rdf:resource="https://www.iq.harvard.edu/news/gary-king-instrumental-developing-new-model-academic-collaboration-industry"/><rdf:li rdf:resource="http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html"/><rdf:li rdf:resource="https://github.com/edobashira/speech-language-processing"/><rdf:li rdf:resource="http://www.automotive-ontology.org/"/><rdf:li rdf:resource="http://www.volkswagen.co.uk/vocabularies/vvo/ns"/></rdf:Seq></items></channel><item rdf:about="https://github.com/assafelovic/gpt-researcher"><title>GitHub - assafelovic/gpt-researcher: An autonomous agent that conducts deep research on any data using any LLM providers.</title><description>An autonomous agent that conducts deep research on any data using any LLM providers. - assafelovic/gpt-researcher</description><link>https://github.com/assafelovic/gpt-researcher</link><dc:creator>hotho</dc:creator><dc:date>2026-01-29T15:55:07+01:00</dc:date><dc:subject>deep gpt model open research source </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;An autonomous agent that conducts deep research on any data using any LLM providers. - assafelovic/gpt-researcher&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gpt"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/open"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/source"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ollama.com/library"><title>library</title><description></description><link>https://ollama.com/library</link><dc:creator>hotho</dc:creator><dc:date>2024-02-18T11:55:21+01:00</dc:date><dc:subject>llama llm mac model ollama tools </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-02-18T11:55:21+01:00&#034; href=&#034;https://ollama.com/library&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ollama.com/library&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llama"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mac"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ollama"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tools"/></rdf:Bag></taxo:topics></item><item rdf:about="https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard"><title>LMSys Chatbot Arena Leaderboard - a Hugging Face Space by lmsys</title><description></description><link>https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard</link><dc:creator>hotho</dc:creator><dc:date>2024-01-31T22:39:12+01:00</dc:date><dc:subject>board bot chat language large leader llm model modell </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2024-01-31T22:39:12+01:00&#034; href=&#034;https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/board"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bot"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/chat"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/large"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/leader"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/llm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/modell"/></rdf:Bag></taxo:topics></item><item rdf:about="https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeitr%C3%A4ge/DASC-PM_v1.1.pdf"><title>https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeiträge/DASC-PM_v1.1.pdf</title><description></description><link>https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeitr%C3%A4ge/DASC-PM_v1.1.pdf</link><dc:creator>hotho</dc:creator><dc:date>2023-06-05T10:37:16+02:00</dc:date><dc:subject>Modell data model process science </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2023-06-05T10:37:16+02:00&#034; href=&#034;https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeitr%C3%A4ge/DASC-PM_v1.1.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://8530121.fs1.hubspotusercontent-na1.net/hubfs/8530121/Website%20Relaunch%202022/Blogbeitr%C3%A4ge/DASC-PM_v1.1.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Modell"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/process"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/science"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/jerryji1993/DNABERT"><title>jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome</title><description>DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome</description><link>https://github.com/jerryji1993/DNABERT</link><dc:creator>hotho</dc:creator><dc:date>2022-07-05T17:00:36+02:00</dc:date><dc:subject>BERT DNA RNA model </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/BERT"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DNA"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/RNA"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/mana438/RNABERT"><title>mana438/RNABERT</title><description></description><link>https://github.com/mana438/RNABERT</link><dc:creator>hotho</dc:creator><dc:date>2022-07-05T16:59:40+02:00</dc:date><dc:subject>BERT DNA RNA model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-07-05T16:59:40+02:00&#034; href=&#034;https://github.com/mana438/RNABERT&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://github.com/mana438/RNABERT&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/BERT"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/DNA"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/RNA"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf"><title>https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf</title><description></description><link>https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf</link><dc:creator>hotho</dc:creator><dc:date>2022-06-21T16:21:39+02:00</dc:date><dc:subject>Anzahl Bilder bee cv image learning model report </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-06-21T16:21:39+02:00&#034; href=&#034;https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Anzahl"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Bilder"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bee"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cv"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/image"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/report"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/"><title>Democratizing access to large-scale language models with OPT-175B</title><description></description><link>https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/</link><dc:creator>hotho</dc:creator><dc:date>2022-05-10T16:23:15+02:00</dc:date><dc:subject>LM Literaturverwaltung big deep language learning model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-05-10T16:23:15+02:00&#034; href=&#034;https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Literaturverwaltung"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/big"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html"><title>540 Milliarden Parameter: Googles KI-System kann Arithmetik und erkennt Humor | heise online</title><description></description><link>https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html</link><dc:creator>hotho</dc:creator><dc:date>2022-04-25T11:46:43+02:00</dc:date><dc:subject>AI KI big deep google learning model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-04-25T11:46:43+02:00&#034; href=&#034;https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/AI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/KI"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/big"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/google"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://bigscience.huggingface.co/"><title>BigScience Research Workshop</title><description></description><link>https://bigscience.huggingface.co/</link><dc:creator>hotho</dc:creator><dc:date>2022-03-29T17:15:24+02:00</dc:date><dc:subject>big language lingual lm model multi research science </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-03-29T17:15:24+02:00&#034; href=&#034;https://bigscience.huggingface.co/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://bigscience.huggingface.co/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/big"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lingual"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/lm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/multi"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/science"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html"><title>Google AI Blog: KELM: Integrating Knowledge Graphs with Language Model Pre-training Corpora</title><description></description><link>https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html</link><dc:creator>hotho</dc:creator><dc:date>2022-03-26T16:49:36+01:00</dc:date><dc:subject>KG LM data dataset deep integration learning model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2022-03-26T16:49:36+01:00&#034; href=&#034;https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/KG"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/LM"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/data"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/dataset"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/integration"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/"><title>Must-read Papers on pre-trained language models</title><description></description><link>https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/</link><dc:creator>hotho</dc:creator><dc:date>2020-09-12T11:17:07+02:00</dc:date><dc:subject>bert elmo language model deep learning ml pre-trained </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-09-12T11:17:07+02:00&#034; href=&#034;https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bert"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/elmo"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/pre-trained"/></rdf:Bag></taxo:topics></item><item rdf:about="https://bellard.org/textsynth/"><title>Text Synth</title><description></description><link>https://bellard.org/textsynth/</link><dc:creator>hotho</dc:creator><dc:date>2020-09-01T16:41:52+02:00</dc:date><dc:subject>gpt2 model talk test transformer </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-09-01T16:41:52+02:00&#034; href=&#034;https://bellard.org/textsynth/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://bellard.org/textsynth/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gpt2"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/talk"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/test"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/transformer"/></rdf:Bag></taxo:topics></item><item rdf:about="http://gabgoh.github.io/COVID/index.html"><title>Epidemic Calculator</title><description></description><link>http://gabgoh.github.io/COVID/index.html</link><dc:creator>hotho</dc:creator><dc:date>2020-03-21T11:01:03+01:00</dc:date><dc:subject>covid corona epidemic calculator model infection </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-03-21T11:01:03+01:00&#034; href=&#034;http://gabgoh.github.io/COVID/index.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://gabgoh.github.io/COVID/index.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/covid"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/corona"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/epidemic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/calculator"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/infection"/></rdf:Bag></taxo:topics></item><item rdf:about="https://talktotransformer.com"><title>Talk to Transformer</title><description></description><link>https://talktotransformer.com</link><dc:creator>hotho</dc:creator><dc:date>2019-11-19T18:51:34+01:00</dc:date><dc:subject>***** application language model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-11-19T18:51:34+01:00&#034; href=&#034;https://talktotransformer.com&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://talktotransformer.com&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/*****"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/application"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.iq.harvard.edu/news/gary-king-instrumental-developing-new-model-academic-collaboration-industry"><title>Gary King instrumental in developing new model for academic collaboration with industry | Harvard Institute for Quantitative Social Science</title><description>IQSS Director Gary King and Nate Persily of Stanford Law School have developed a new model for academic collaboration with industry.</description><link>https://www.iq.harvard.edu/news/gary-king-instrumental-developing-new-model-academic-collaboration-industry</link><dc:creator>hotho</dc:creator><dc:date>2018-06-28T10:37:48+02:00</dc:date><dc:subject>cooperation industry model research toread </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;IQSS Director Gary King and Nate Persily of Stanford Law School have developed a new model for academic collaboration with industry.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/cooperation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/industry"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/toread"/></rdf:Bag></taxo:topics></item><item rdf:about="http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html"><title>What my deep model doesn&#039;t know... | Yarin Gal - Blog | Cambridge Machine Learning Group</title><description></description><link>http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html</link><dc:creator>hotho</dc:creator><dc:date>2018-02-14T13:56:07+01:00</dc:date><dc:subject>blog deep gaussian learning model </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2018-02-14T13:56:07+01:00&#034; href=&#034;http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://mlg.eng.cam.ac.uk/yarin/blog_3d801aa532c1ce.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/blog"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/deep"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/gaussian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/edobashira/speech-language-processing"><title>edobashira/speech-language-processing: A curated list of speech and natural language processing resources</title><description>speech-language-processing - A curated list of speech and natural language processing resources</description><link>https://github.com/edobashira/speech-language-processing</link><dc:creator>hotho</dc:creator><dc:date>2017-10-13T08:56:38+02:00</dc:date><dc:subject>language ml model nlp overview recognition speech tools </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;speech-language-processing - A curated list of speech and natural language processing resources&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/language"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ml"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nlp"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/overview"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recognition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/speech"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tools"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.automotive-ontology.org/"><title>The Automotive Ontology Working Group</title><description>The Automotive Ontology Working Group: Knowledge Representation for Automotive at Web Scale</description><link>http://www.automotive-ontology.org/</link><dc:creator>hotho</dc:creator><dc:date>2017-02-10T17:41:45+01:00</dc:date><dc:subject>car model ontology </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The Automotive Ontology Working Group: Knowledge Representation for Automotive at Web Scale&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/car"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.volkswagen.co.uk/vocabularies/vvo/ns"><title>The Volkswagen Vehicles Ontology (VVO)</title><description>An OWL Web vocabulary for describings Volkswagen car features and buildability informations</description><link>http://www.volkswagen.co.uk/vocabularies/vvo/ns</link><dc:creator>hotho</dc:creator><dc:date>2017-02-10T16:07:47+01:00</dc:date><dc:subject>car model ontology owl vocabulary </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;An OWL Web vocabulary for describings Volkswagen car features and buildability informations&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/car"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/owl"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/vocabulary"/></rdf:Bag></taxo:topics></item></rdf:RDF>