9 search results - page 2 / 2 » Efficient Learning in Boltzmann Machines Using Linear Respon... |
CIKM
2009
Springer
14 years 1 days ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
TCS
2008
13 years 5 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
KAIS
2006
13 years 5 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...