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» Modeling durations of syllables using neural networks
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IJCNN
2007
IEEE
15 years 6 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
FLAIRS
2008
15 years 2 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
BMCBI
2007
186views more  BMCBI 2007»
14 years 12 months ago
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
Jung-Hsien Chiang, Shih-Yi Chao
IWANN
2007
Springer
15 years 6 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
ISNN
2005
Springer
15 years 5 months ago
Self-organizing Map Analysis of Conceptual and Semantic Relations for Noun
In this paper, we analyzed self-organizing map of conceptual and semantic relations for noun, discussing the semantic distinction between conceptual nouns for natural language proc...
Minghu Jiang, Chengqing Zong, Beixing Deng