65 search results - page 6 / 13 » The power of choice in random walks: an empirical study |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
79
Voted
AUSAI
2007
Springer
15 years 1 months ago
2007
Springer
In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on th...
JSAT
2008
14 years 9 months ago
2008
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
101
Voted
JCM
2008
14 years 9 months ago
2008
An analytical model is developed to solve the power-rate assignment problem for multi-rate CDMA systems and calculate the probability density function (PDF) for the downlink traffi...
CATS
2008
14 years 11 months ago
2008
Pollard's rho method is a randomized algorithm for computing discrete logarithms. It works by defining a pseudo-random sequence and then detecting a match in the sequence. Ma...