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NECO
2007
150views more  NECO 2007»
13 years 10 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
OIR
2007
95views more  OIR 2007»
13 years 10 months ago
Help features in digital libraries: types, formats, presentation styles, and problems
Purpose – The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design. Design/methodology/approach – This study s...
Hong (Iris) Xie
SCFBM
2008
92views more  SCFBM 2008»
13 years 9 months ago
CRANKITE: A fast polypeptide backbone conformation sampler
Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sample...
Alexei A. Podtelezhnikov, David L. Wild
ICST
2010
IEEE
13 years 9 months ago
Automated Behavioral Regression Testing
—When a program is modified during software evolution, developers typically run the new version of the program against its existing test suite to validate that the changes made ...
Wei Jin, Alessandro Orso, Tao Xie
INFORMATICALT
2010
107views more  INFORMATICALT 2010»
13 years 8 months ago
Optimization of Formant Feature Based Speech Recognition
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding...
Antanas Lipeika