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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 22 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ICML
1994
IEEE
14 years 18 days ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
TCAD
2008
106views more  TCAD 2008»
13 years 9 months ago
Track Routing and Optimization for Yield
Abstract--In this paper, we propose track routing and optimization for yield (TROY), the first track router for the optimization of yield loss due to random defects. As the probabi...
Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
CCR
2002
111views more  CCR 2002»
13 years 9 months ago
A taxonomy and design considerations for Internet accounting
Economic principles are increasingly being suggested for addressing some complex issues related to distributed resource allocation for QoS (Quality of Service) enhancement. Many p...
Michel Kouadio, Udo W. Pooch
DATAMINE
1998
145views more  DATAMINE 1998»
13 years 8 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges