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ICAC
2008
IEEE
15 years 6 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CIKM
2009
Springer
15 years 6 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
102
Voted
AAMAS
2008
Springer
14 years 11 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Leila Amgoud, Mathieu Serrurier
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 2 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
CHI
2006
ACM
16 years 14 hour ago
Interacting with communication appliances: an evaluation of two computer vision-based selection techniques
Communication appliances, intended for home settings, require intuitive forms of interaction. Computer vision offers a potential solution, but is not yet sufficiently accurate.As ...
Jacob Eisenstein, Wendy E. Mackay