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ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...