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» On the Use of Evidence in Neural Networks
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ISIWI
2000
15 years 3 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
105
Voted
NIPS
1996
15 years 3 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
114
Voted
JMLR
2006
104views more  JMLR 2006»
15 years 1 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
133
Voted
COLING
2010
14 years 8 months ago
Feature-Rich Discriminative Phrase Rescoring for SMT
This paper proposes a new approach to phrase rescoring for statistical machine translation (SMT). A set of novel features capturing the translingual equivalence between a source a...
Fei Huang, Bing Xiang
INTERSPEECH
2010
14 years 8 months ago
The RWTH 2009 quaero ASR evaluation system for English and German
In this work, the RWTH automatic speech recognition systems for English and German for the second Quaero evaluation campaign 2009 are presented. The systems are designed to transc...
Markus Nußbaum-Thom, Simon Wiesler, Martin S...