493 search results - page 17 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
ICMLA
2010
13 years 6 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
ICDM
2008
IEEE
14 years 3 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...
ML
2000
ACM
13 years 8 months ago
2000
ACM
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper, we study the problem of constructing private classifiers using decision trees, within the framework of differential privacy. We first construct privacy-preserving ID...
AAAI
2006
13 years 10 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...