Sensor Data: A New Threat to Smart Phones?
systems and applied machine learning. His research interests include mobile, pervasive, distributed ... Member of the Technical Staff at AT&T Research specializing in
Robert Schapire explains the paradox of AdaBoost
with Yoav Freund). His main research interest is in theoretical and applied machine learning. Robert ... should pre-register. Abstract Boosting is an approach to machine
Social TV - View and Contribute to Public Opinions about Your Content Live
Social TV - View and Contribute to Public Opinions about Your Content Live (to be revised)
Graphviz System for Network Visualization
Graphviz is network visualization software for creating high-quality, readable node-link diagrams of large-scale data sets
Haffner, Patrick G.
I am interested in large scale machine learning algorithms and their application to speech, natural language and seacrh problems.
Selfridge, Ethan O.
My work revolves around building and designing next-generation spoken dialogue systems by applying incremental speech recognition, NLP and machine learning.
NEVERMIND, the Problem Is Already Fixed: Proactively Detecting and Troubleshooting Customer DSL Problems
using supervised machine learning techniques. We propose several novel techniques to address ... advanced machine learning algorithms, NEVERMIND automatically mines infer
Improving Question Retrieval in Community Question Answering with Label Ranking
to solve the particular multi- label classification problem. Label ranking is a machine learning ... . In the next subsections, we will use several machine learning algori
Interactive Machine Learning Techniques for Improving SLU Models
Lee Begeja, Lee Begeja, Lee Begeja, Lee Begeja, Lee Begeja Interactive Machine Learning Techniques for Improving SLU Models May HLTNAACL Workshop on Spoken Language Understanding for Conversational Systems
A general purpose machine-learning program