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ACL
2006
13 years 10 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 10 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
FGCS
2008
135views more  FGCS 2008»
13 years 9 months ago
An on-line replication strategy to increase availability in Data Grids
Data is typically replicated in a Data Grid to improve the job response time and data availability. Strategies for data replication in a Data Grid have previously been proposed, b...
Ming Lei, Susan V. Vrbsky, Xiaoyan Hong
TSP
2008
90views more  TSP 2008»
13 years 9 months ago
Generalized Correlation Decomposition-Based Blind Channel Estimation in DS-CDMA Systems With Unknown Wide-Sense Stationary Noise
A new blind subspace-based channel estimation technique is proposed for direct-sequence code-division multiple access (DS-CDMA) systems operating in the presence of unknown wide-se...
Keyvan Zarifi, Alex B. Gershman
HPCC
2011
Springer
12 years 9 months ago
Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies
— Mapping of parallel applications on the network topology is becoming increasingly important on large supercomputers. Topology aware mapping can reduce the hops traveled by mess...
Abhinav Bhatele, Laxmikant V. Kalé