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NIPS
2007
13 years 9 months ago
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...
INFOCOM
2003
IEEE
14 years 28 days ago
Asymptotic Insensitivity of Least-Recently-Used Caching to Statistical Dependency
Abstract— We investigate a widely popular Least-RecentlyUsed (LRU) cache replacement algorithm with semi-Markov modulated requests. Semi-Markov processes provide the flexibility...
Predrag R. Jelenkovic, Ana Radovanovic
BMCBI
2004
116views more  BMCBI 2004»
13 years 7 months ago
Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure p
Background: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy mini...
Kishore J. Doshi, Jamie J. Cannone, Christian W. C...
ICST
2011
IEEE
12 years 11 months ago
An Empirical Study on the Relation between Dependency Neighborhoods and Failures
—Changing source code in large software systems is complex and requires a good understanding of dependencies between software components. Modification to components with little ...
Thomas Zimmermann, Nachiappan Nagappan, Kim Herzig...
BMCBI
2006
102views more  BMCBI 2006»
13 years 7 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky