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ECML
2007
Springer
14 years 2 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
AICCSA
2006
IEEE
133views Hardware» more  AICCSA 2006»
14 years 2 months ago
Learning acyclic rules based on Chaining Genetic Programming
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ISM
2005
IEEE
132views Multimedia» more  ISM 2005»
14 years 2 months ago
A Pitch-Based Rapid Speech Segmentation for Speaker Indexing
Segmentation of continuous audio is important for speaker indexing. The reliability of models in speaker indexing depends much on segmentation. Commonly used method is based on th...
Min Yang, Yingchun Yang, Zhaohui Wu
SSPR
2004
Springer
14 years 2 months ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
ECAI
2000
Springer
14 years 1 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...