1010 search results - page 73 / 202 » Co-EM support vector learning |
106
Voted
DCC
2009
IEEE
16 years 3 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
129
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
125
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
108
Voted
MEDINFO
2007
15 years 4 months ago
2007
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
112
Voted
NIPS
2001
15 years 4 months ago
2001
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...