798 search results - page 25 / 160 » Perceptual Learning and Abstraction in Machine Learning |
ESOP
2011
Springer
13 years 4 days ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
TNN
2010
13 years 3 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...