MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
’m proud to announce the kick off of the Dojo Offline Toolkit, which SitePen has graciously agreed to sponsor and fund. SitePen is a leader in pushing the web browser in new directions, and I’m extremely excited to be working on this project with the
The JIT is an advanced JavaScript infovis toolkit based on 5 papers about different information visualization techniques.
The JIT implements advanced features of information visualization like Treemaps (with the slice and dice and squarified methods), an adapted visualization of trees based on the Spacetree, a focus+context technique to plot Hyperbolic Trees, and a radial layout of trees with advanced animations (RGraph).
Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning licensed under the Mozilla Public License (MPL). We develop an open source machine learning toolkit which provides
algorithms for machine learning utilising the power of multi-core/multi-threaded processors/operating systems (Linux, WIndows, Mac OS X),
a graphical user interface for users who want to quickly prototype machine learning experiments,
tutorials to support learning about Statistical Machine Learning (Statistical Machine Learning at The Australian National University), and
detailed and precise documentation for each of the above.
The science of improvement is an applied science that emphasizes innovation, rapid-cycle testing in the field, and spread in order to generate learning about what changes, in which contexts, produce improvements. It is characterized by the combination of expert subject knowledge with improvement methods and tools. It is multidisciplinary — drawing on clinical science, systems theory, psychology, statistics, and other fields.
his playbook is designed for two main purposes:
To help those who are working with NouLAB on innovation processes.
To share with the lab community how NouLAB approaches our work.
People leave our training armed with powerful tools and techniques that they can implement immediately to create a step change in the impact of their research. Underpinning these techniques is a unique relational approach to impact that enables people to generate deep and lasting change through their research. Consistent with this approach, we work with people long after the training event, helping people work through a series of steps to put what they've learned into practice in the weeks and months that follow.
Speech technology potentially allows everyone to participate in today's information revolution and can bridge the language barrier gap. Unfortunately, construction of speech processing systems requires significant resources. With some 6900 languages in the world, traditionally speech processing is prohibitive to all but the most economically viable languages. In spite of recent improvements in speech processing, supporting new languages is a skilled job requiring significant effort from trained individuals. SPICE aims to overcome both limitations by providing an interactive language creation and evaluation toolkit that allows everyone to develop speech processing models, to collect appropriate data for model building, and to evaluate the results enabling iterative improvements.
A. Gokcezade, J. Leitner, and M. Haller. ACM International Conference on Advances in Computer Entertainment Technology, 8 (3):
19:1--19:16(December 2010)Place: New York, NY, USA
Publisher: ACM.
R. Atun, N. Lennox-Chhugani, F. Drobniewski, Y. Samyshkin, and R. Coker. European journal of public health, 14 (3):
267-273(September 2004)M3: Article; Accession Number: 14596725; Atun, R. A. 1; Email Address: r.atun@imperial.ac.uk Lennox-Chhugani, N. 1 Drobniewski, F. 2 Samyshkin, Y. A. 1 Coker, R. J. 3; Affiliation: 1: Centre for Health Management, The Business School, Imperial College London, South Kensington Campus, London, UK 2: Department of Infectious Diseases, Guy's King's and St Thomas' Medical School, East Dulwich Grove, London, UK 3: Department of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK; Source Info: Sep2004, Vol. 14 Issue 3, p267; Subject Term: COMMUNICABLE diseases; Subject Term: DISEASE management; Subject Term: MEDICINE, Preventive; Subject Term: EPIDEMICS; Subject Term: MEDICAL care; Subject Term: PUBLIC health; Author-Supplied Keyword: health systems; Author-Supplied Keyword: rapid appraisal; Author-Supplied Keyword: systems analysis; Author-Supplied Keyword: toolkit; NAICS/Industry Codes: 525120 Health and Welfare Funds; Number of Pages: 7p; Illustrations: 1 chart, 3 diagrams; Document Type: Article.