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CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 6 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
INFOCOM
2000
IEEE
15 years 11 months ago
QoS Routing with Performance-Dependent Costs
Abstract—We study a network model in which each network link is associated with a set of delays and costs. These costs are a function of the delays and reflect the prices paid i...
Funda Ergün, Rakesh K. Sinha, Lisa Zhang
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 8 months ago
MOOLAP: Towards Multi-Objective OLAP
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. When more tha...
Shyam Antony, Ping Wu, Divyakant Agrawal, Amr El A...
ICML
1999
IEEE
16 years 7 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan