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» Transfer Learning in Decision Trees
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IFIP12
2008
13 years 9 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
AAAI
2004
13 years 9 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
13 years 9 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
ACL
2003
13 years 9 months ago
Flexible Guidance Generation Using User Model in Spoken Dialogue Systems
We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on user’s knowledge o...
Kazunori Komatani, Shinichi Ueno, Tatsuya Kawahara...
NAACL
2004
13 years 9 months ago
Multiple Similarity Measures and Source-Pair Information in Story Link Detection
State-of-the-art story link detection systems, that is, systems that determine whether two stories are about the same event or linked, are usually based on the cosine-similarity m...
Francine Chen, Ayman Farahat, Thorsten Brants