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IJCNN
2006
IEEE
16 years 22 days ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
ICDCSW
2005
IEEE
16 years 10 days ago
On Optimal TTL Sequence-Based Route Discovery in MANETs
In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flood...
Dimitrios Koutsonikolas, Saumitra M. Das, Himabind...
ATAL
2003
Springer
15 years 12 months ago
Multiagent diffusion and distributed optimization
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Kwok Ching Tsui, Jiming Liu
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 11 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
IEEEPACT
1998
IEEE
15 years 11 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...