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ICML
2007
IEEE
14 years 8 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
CEC
2007
IEEE
14 years 2 months ago
A simple genetic algorithm for music generation by means of algorithmic information theory
— Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classi...
Manuel Alfonseca, Manuel Cebrián, Alfonso O...
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 2 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
DSN
2006
IEEE
14 years 2 months ago
Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms
We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. A...
Alberto Avritzer, Andre B. Bondi, Michael Grottke,...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 1 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight