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ACTAC
2006
126views more  ACTAC 2006»
14 years 10 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
TCBB
2008
138views more  TCBB 2008»
14 years 10 months ago
PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM
The subcellular locations of proteins are important functional annotations. An effective and reliable subcellular localization method is necessary for proteomics research. This pap...
Man-Wai Mak, Jian Guo, Sun-Yuan Kung
EUROCON
2011
281views Hardware» more  EUROCON 2011»
14 years 1 months ago
Browsing videos by automatically detected audio events
—This paper focuses on Audio Event Detection (AED), a research area which aims to substantially enhance the access to audio in multimedia content. With the ever-growing quantity ...
Virginia Barbosa, Thomas Pellegrini, Miguel Bugalh...
JMLR
2012
13 years 13 days ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...
RECOMB
2005
Springer
15 years 10 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...