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» Training Multi-layer Perceptrons Using MiniMin Approach
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MLMI
2007
Springer
15 years 3 months ago
Posterior-Based Features and Distances in Template Matching for Speech Recognition
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
Guillermo Aradilla, Hervé Bourlard
ACL
2004
14 years 11 months ago
Incremental Parsing with the Perceptron Algorithm
This paper describes an incremental parsing approach where parameters are estimated using a variant of the perceptron algorithm. A beam-search algorithm is used during both traini...
Michael Collins, Brian Roark
IJON
2000
80views more  IJON 2000»
14 years 9 months ago
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
Ismail Salih, Stanley H. Smith, Derong Liu
73
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DAS
2008
Springer
14 years 11 months ago
Named Entity Recognition by Neural Sliding Window
Named Entity Recognition (NER) is an important subtask of document processing such as Information Extraction. This paper describes a NER algorithm which uses a Multi-Layer Percept...
Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo,...
ADMA
2006
Springer
153views Data Mining» more  ADMA 2006»
14 years 11 months ago
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
Daniel Neagu, Gongde Guo, Shanshan Wang