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» Learning with Mixtures of Trees
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75
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LREC
2010
151views Education» more  LREC 2010»
15 years 3 months ago
FastKwic, an "Intelligent" Concordancer Using FASTR
In this paper, we introduce the FastKwic (Key Word In Context using FASTR), a new concordancer for French and English that does not require users to learn any particular request l...
Véronika Lux-Pogodalla, Dominique Besagni, ...
130
Voted
IFIP12
2008
15 years 3 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
IJCAI
2007
15 years 3 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
122
Voted
AAAI
2004
15 years 3 months ago
Rapid Object Recognition from Discriminative Regions of Interest
Object recognition and detection represent a relevant component in cognitive computer vision systems, such as in robot vision, intelligent video surveillance systems, or multi-mod...
Gerald Fritz, Christin Seifert, Lucas Paletta, Hor...
AIIDE
2006
15 years 3 months ago
Predicting User Physiological Response for Interactive Environments: An Inductive Approach
Affective reasoning holds great potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities o...
Scott W. McQuiggan, Sunyoung Lee, James C. Lester