493 search results - page 5 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
WWW
2005
ACM
14 years 9 months ago
2005
ACM
Focused crawlers are considered as a promising way to tackle the scalability problem of topic-oriented or personalized search engines. To design a focused crawler, the choice of s...
ADMA
2006
Springer
14 years 17 days ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
ICIP
1999
IEEE
14 years 10 months ago
1999
IEEE
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...