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» Conditional expectation and fuzzy regression
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JMLR
2006
140views more  JMLR 2006»
13 years 4 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
NIPS
1998
13 years 6 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
EUSFLAT
2009
171views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Convergence Theorems for Generalized Random Variables and Martingales
We examine generalizations of random variables and martingales. We prove a new convergence theorem for setvalued martingales. We also generalize a well known characterization of se...
Andrew L. Pinchuck
ICML
2007
IEEE
14 years 5 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum