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» Feature selection for linear support vector machines
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HCI
2009
13 years 5 months ago
Ensemble SWLDA Classifiers for the P300 Speller
Abstract. The P300 Speller has proven to be an effective paradigm for braincomputer interface (BCI) communication. Using this paradigm, studies have shown that a simple linear clas...
Garett D. Johnson, Dean J. Krusienski
ICPR
2010
IEEE
14 years 1 months ago
Multi-Modal Emotion Recognition Using Canonical Correlations and Acoustic Features
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user exp...
Rok Gajsek, Vitomir Struc, France Mihelic
COLING
2008
13 years 9 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
ISCA
2002
IEEE
105views Hardware» more  ISCA 2002»
14 years 29 days ago
Tarantula: A Vector Extension to the Alpha Architecture
Tarantula is an aggressive floating point machine targeted at technical, scientific and bioinformatics workloads, originally planned as a follow-on candidate to the EV8 processo...
Roger Espasa, Federico Ardanaz, Julio Gago, Roger ...
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 7 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...