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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
95
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
72
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...