354 search results - page 27 / 71 » Restart Strategy Selection Using Machine Learning Techniques |
82
Voted
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
116
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EMNLP
2008
14 years 11 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
67
Voted
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
COLING
2010
14 years 4 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...