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IJCNN
2007
IEEE
15 years 10 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
ATAL
2007
Springer
15 years 10 months ago
Meta-level coordination for solving negotiation chains in semi-cooperative multi-agent systems
A negotiation chain is formed when multiple related negotiations are spread over multiple agents. In order to appropriately order and structure the negotiations occurring in the c...
Xiaoqin Zhang, Victor R. Lesser
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
139
Voted
SPAA
2006
ACM
15 years 10 months ago
Playing push vs pull: models and algorithms for disseminating dynamic data in networks
Consider a network in which a collection of source nodes maintain and periodically update data objects for a collection of sink nodes, each of which periodically accesses the data...
R. C. Chakinala, Abishek Kumarasubramanian, Kofi A...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez