1283 search results - page 79 / 257 » Learning Voting Trees |
ICDM
2008
IEEE
14 years 4 months ago
2008
IEEE
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
ECML
2005
Springer
14 years 3 months ago
2005
Springer
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it st...
AAAI
2006
13 years 11 months ago
2006
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...