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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 4 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
CIBCB
2006
IEEE
15 years 10 months ago
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags
The vast number of expressed sequence tags (ESTs) in public databases provides an important resource for comparative and functional genomics. A variety of methods based on homology...
Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-D...
IJCV
2010
167views more  IJCV 2010»
14 years 11 months ago
A Solution of the Dichromatic Model for Multispectral Photometric Invariance
In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, w...
Cong Phuoc Huynh, Antonio Robles-Kelly
TMC
2011
127views more  TMC 2011»
14 years 11 months ago
Discriminant Minimization Search for Large-Scale RF-Based Localization Systems
— In large-scale fingerprinting localization systems, fine-grained location estimation and quick location determination are conflicting concerns. To achieve finer-grained loc...
Sheng-Po Kuo, Yu-Chee Tseng
NIPS
1998
15 years 5 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore