Robert Schapire explains the paradox of AdaBoost
with Yoav Freund). His main research interest is in theoretical and applied machine learning. Robert ... visitors should pre-register. Abstract Boosting is an approach to

Sensor Data: A New Threat to Smart Phones?
pose a security risk. Researchers at AT&T and Duke University applied machine learning analysis ... and applied machine learning. His research interests include mobil

Recent Directions in Nonparametric Bayesian Machine Learning
false Machine learning, Bayesian statistics Zoubin Ghahramani Zoubin Ghahramani is Professor ... of Machine Learning at Carnegie Mellon University, USA. He obtained BA and

Machine Learning for Madagascar Conservation Planning
application for conservation planning in Madagascar. Some more info is here. Machine Learning for Madagascar ...

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

Zavesky, Eric
Research of interactive video indexing and retrieval, multimodal interfaces (text, image, speech, touch, visual gesture), content processing, machine learning, biometrics, data mining, and NLP.

Jung, Gueyoung
Gueyoung's research is in Distributed Computing. His current research interests are in predictive analytics and QoS optimization for Cloud, by adopting Machine Learning and Artificial Intelligence.

Modeling Web Quality-of-Experience on Cellular Networks
and session length. In this pa- per, we first devise a machine-learning-based mechanism to infer web QoE ... use machine learning to accurately model the in- fluence of r

A Learning Approach Towards Detection and

Tracking of Lane Markings
on highways [21]. Machine learning methods with IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION ... their relevance for decision-making using a 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

System and method for compiling rules created by machine learning program
and associated weights are provided as a result of machine learning. Each one of the group of linear rules ... created by machine learning program United States Patent: 7