tag :: machinelearning imported

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3Andrew W. Moore's Home Page
f Robotics and Computer Science
16 years ago by @flykeysky
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Robotics
Science
ai
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cmu
datamining
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machine_learning
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research
ComputerRoboticsScienceaialgorithmscmudatamininggraphicsimportedmachinemachine_learningmachinelearningmathresearch
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4Statistical analysis software and data mining software | Insightful
http://www.insightful.com/
19 years ago by @gor
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ArtificialIntelligence
MachineLearning
TextDataMining
DataMining
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1SVMTool
http://www.lsi.upc.es/~nlp/SVMTool/
20 years ago by @gor
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MachineLearning
imported
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KernelMachines
SupportVectorMachines
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2WordStat - Content Analysis & Text Mining Software
http://www.simstat.com/wordstat.htm
20 years ago by @gor
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TextDataMining
DataMining
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1IJS: Project Intelligence
http://pi.ijs.si/
20 years ago by @gor
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1ghmm.org
http://ghmm.org/
20 years ago by @gor
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ArtificialIntelligence
MachineLearning
HiddenMarkovModels
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1A Roadmap to Text Mining and Web Mining
http://www.cs.utexas.edu/users/pebronia/text-mining/
20 years ago by @gor
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1Graph Mining and Link Analysis Reading Group, Summer 2002
http://www.cs.umd.edu/~qinglu/summer02-reading.htm
20 years ago by @gor
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1BAYESIA: Bayesian Networks and Data Mining Tools
http://www.bayesia.com/
21 years ago by @gor
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1World Wide Knowledge Base (Web->KB) project
http://www-2.cs.cmu.edu/~webkb/
21 years ago by @gor
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2CMU Text Learning Group
http://www-2.cs.cmu.edu/~TextLearning/
21 years ago by @gor
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AssociationsandInstitutes
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1Center for Automated Learning and Discovery
http://www.cald.cs.cmu.edu/
21 years ago by @gor
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AssociationsandInstitutes
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2MLnet OiS - Find information and resources on Machine Learning, Knowledge Discovery, Data Mining, Case-based Reasoning, and Knowledge Acquisition
http://www.mlnet.org/
21 years ago by @gor
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Overviews,FAQ,Links,Resources
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1Welcome to Cognitive Computation
http://l2r.cs.uiuc.edu/~cogcomp/cc-software.html
22 years ago by @gor
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Software
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5Kernel Machines
http://www.kernel-machines.org/
22 years ago by @gor
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KernelMachines
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4Learning with Kernels
http://www.learning-with-kernels.org/
22 years ago by @gor
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KernelMachines
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1Mining and Searching the Web
http://www.comp.nus.edu.sg/~liub/tkdeWeb.html
22 years ago by @gor
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11SVM-Light Support Vector Machine
http://svmlight.joachims.org/
22 years ago by @gor
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2Data Mining Lecture Notes
http://www-db.stanford.edu/~ullman/mining/mining.html
23 years ago by @gor
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1The WebSIFT Project
http://www.cs.umn.edu/Research/websift/
23 years ago by @gor
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ArtificialIntelligence
MachineLearning
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imported
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WebMining
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1Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features
B. Magnussen, C. Stern, and B. Sick. International Conference on Autonomic and Autonomous Systems (ICAS), page 49--53. ThinkMind, (2023)
a year ago by @ies
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itegpub
isac-www
MachineLearning
NeuralNets
ContinuousKernel
IrregularlySampledData
ReflectionSpectroscopy
importeditegpubisac-wwwMachineLearningNeuralNetsContinuousKernelIrregularlySampledDataReflectionSpectroscopy
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2NDNET: A Unified Framework for Anomaly and Novelty Detection
J. Decke, J. Schmeißing, D. Botache, M. Bieshaar, B. Sick, and C. Gruhl. International Conference on Architecture of Computing Systems (ARCS), page 197--210. Springer, (2022)
a year ago by @ies
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NoveltyDetection
Library
MachineLearning
UnsupervisedLearning
AnomalyDetection
importeditegpubisac-wwwNoveltyDetectionLibraryMachineLearningUnsupervisedLearningAnomalyDetection
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1Predicting flow stress behavior of an AA7075 alloy using machine learning methods
J. Decke, A. Engelhardt, L. Rauch, S. Degener, S. Sajjadifar, E. Scharifi, K. Steinhoff, T. Niendorf, and B. Sick. Crystals, 9 (12): 1--19 (2022)
2 years ago by @ies
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MachineLearning
eXtremeGradientBoosting
ZerilliArmstrong
FlowStress
AA7075
importeditegpubisac-wwwMachineLearningeXtremeGradientBoostingZerilliArmstrongFlowStressAA7075
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14The Unreasonable Effectiveness of Data
A. Halevy, P. Norvig, and F. Pereira. IEEE Intelligent Systems, 24 (2): 8-12 (2009)
15 years ago by @wnpxrz
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13Probabilistic author-topic models for information discovery
M. Steyvers, P. Smyth, M. Rosen-Zvi, and T. Griffiths. Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, (2004)
16 years ago by @tberg
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11Hierarchical Topic Models and the Nested Chinese Restaurant Process
D. Blei, T. Griffiths, M. Jordan, and J. Tenenbaum. Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, (2004)
16 years ago by @tberg
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7Pachinko allocation: DAG-structured mixture models of topic correlations
W. Li, and A. McCallum. Proceedings of the 23rd international conference on Machine learning, (2006)
16 years ago by @tberg
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10Hierarchical Dirichlet Processes
Y. Teh, M. Jordan, M. Beal, and D. Blei. JOURNAL-AMERICAN STATISTICAL ASSOCIATION, 101 (476): 1566 (2006)
16 years ago by @tberg
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5Probabilistic topic models
M. Steyvers, and T. Griffiths. Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum, (2005)
16 years ago by @tberg
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7Correlated Topic Models
D. Blei, and J. Lafferty. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, (2006)
16 years ago by @tberg
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3Andrew W. Moore's Home Page

4Statistical analysis software and data mining software | Insightful

1SVMTool

2WordStat - Content Analysis & Text Mining Software

1IJS: Project Intelligence

1ghmm.org

1A Roadmap to Text Mining and Web Mining

1Graph Mining and Link Analysis Reading Group, Summer 2002

1BAYESIA: Bayesian Networks and Data Mining Tools

1World Wide Knowledge Base (Web->KB) project

2CMU Text Learning Group

1Center for Automated Learning and Discovery

2MLnet OiS - Find information and resources on Machine Learning, Knowledge Discovery, Data Mining, Case-based Reasoning, and Knowledge Acquisition

1Welcome to Cognitive Computation

5Kernel Machines

4Learning with Kernels

1Mining and Searching the Web

11SVM-Light Support Vector Machine

2Data Mining Lecture Notes

1The WebSIFT Project

publications (hide)19
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1Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features

2NDNET: A Unified Framework for Anomaly and Novelty Detection

1Predicting flow stress behavior of an AA7075 alloy using machine learning methods

14The Unreasonable Effectiveness of Data

13Probabilistic author-topic models for information discovery

11Hierarchical Topic Models and the Nested Chinese Restaurant Process

7Pachinko allocation: DAG-structured mixture models of topic correlations

10Hierarchical Dirichlet Processes

5Probabilistic topic models

7Correlated Topic Models

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