2440 search results - page 372 / 488 » Abstraction Learning |
96
Voted
ACIVS
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
CIKM
2010
Springer
14 years 11 months ago
2010
Springer
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
100
Voted
IDEAL
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
102
Voted
AIED
2005
Springer
15 years 6 months ago
2005
Springer
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
104
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SLSFS
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...