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FOCI
2007
IEEE
14 years 3 months ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
BMCBI
2008
117views more  BMCBI 2008»
13 years 9 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
ALT
2004
Springer
14 years 6 months ago
Learning r-of-k Functions by Boosting
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
Kohei Hatano, Osamu Watanabe
BMCBI
2007
144views more  BMCBI 2007»
13 years 9 months ago
Gene analogue finder: a GRID solution for finding functionally analogous gene products
Background: To date more than 2,1 million gene products from more than 100000 different species have been described specifying their function, the processes they are involved in a...
Angelica Tulipano, Giacinto Donvito, Flavio Licciu...
EVOW
2005
Springer
14 years 2 months ago
Developing Fitness Functions for Pleasant Music: Zipf's Law and Interactive Evolution Systems
Abstract. In domains such as music and visual art, where the quality of an individual often depends on subjective or hard to express concepts, the automating fitness assignment bec...
Bill Z. Manaris, Penousal Machado, Clayton McCaule...