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ICASSP
2009
IEEE
14 years 4 months ago
A Bayesian approach to HMM-based speech synthesis
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 2 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
JSS
2008
157views more  JSS 2008»
13 years 10 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
NAR
2007
153views more  NAR 2007»
13 years 9 months ago
PROMALS web server for accurate multiple protein sequence alignments
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
Jimin Pei, Bong-Hyun Kim, Ming Tang, Nick V. Grish...
ALS
2003
Springer
14 years 3 months ago
Whose Anticipations?
The central question in this paper is: Who (or what) constructs anticipations? I challenge the (tacit) assumption of Rosen’s standard definition of anticipatory systems according...
Alexander Riegler