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CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 5 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
ADHOC
2006
97views more  ADHOC 2006»
13 years 5 months ago
A probabilistic algorithm for efficient and robust data propagation in wireless sensor networks
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
Ioannis Chatzigiannakis, Tassos Dimitriou, Sotiris...
BMCBI
2007
115views more  BMCBI 2007»
13 years 5 months ago
Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites
Background: We performed an exhaustive search for local structural similarities in an ensemble of non-redundant protein functional sites. With the purpose of finding new examples ...
Gabriele Ausiello, Daniele Peluso, Allegra Via, Ma...
FGCS
2006
74views more  FGCS 2006»
13 years 5 months ago
A performance model of non-deterministic particle transport on large-scale systems
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
JCB
2006
107views more  JCB 2006»
13 years 5 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir