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» Using Machine Learning Techniques to Interpret WH-questions
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CISIS
2011
IEEE
14 years 1 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
ICALT
2003
IEEE
15 years 6 months ago
On Tools for Analysis of Collaborative Problem Solving
Analysis of collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of to...
Nikolaos M. Avouris, Vassilis Komis, Georgios Fiot...
IJCNN
2006
IEEE
15 years 7 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
SIGKDD
2010
183views more  SIGKDD 2010»
14 years 8 months ago
Inactive learning?: difficulties employing active learning in practice
Despite the tremendous level of adoption of machine learning techniques in real-world settings, and the large volume of research on active learning, active learning techniques hav...
Josh Attenberg, Foster J. Provost
ICML
2003
IEEE
16 years 2 months ago
Online Feature Selection using Grafting
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
Simon Perkins, James Theiler