1091 search results - page 20 / 219 » Learning Models for Predicting Recognition Performance |
IPPS
2008
IEEE
15 years 4 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
83
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...
117
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NLPRS
2001
Springer
15 years 2 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
70
Voted
EMNLP
2007
14 years 11 months ago
2007
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...