2252 search results - page 216 / 451 » A distributed machine learning framework |
156
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CRIWG
1998
15 years 4 months ago
1998
The use of new technology must be combined with modern teaching practices to be effective. Collaborative learning is a general term employed for a variety of classroom practices d...
106
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SBIA
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
132
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MCS
2002
Springer
15 years 2 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
116
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ISBI
2009
IEEE
15 years 9 months ago
2009
IEEE
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
135
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ACL
2008
15 years 4 months ago
2008
Word and n-gram posterior probabilities estimated on N-best hypotheses have been used to improve the performance of statistical machine translation (SMT) in a rescoring framework....