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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
NIPS
2001
15 years 8 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
JAMIA
2011
94views more  JAMIA 2011»
14 years 9 months ago
Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence
Objective Uncovering the dominant molecular deregulation among the multitude of pathways implicated in aggressive prostate cancer is essential to intelligently developing targeted...
James L. Chen, Jianrong Li, Walter M. Stadler, Yve...
SODA
2000
ACM
123views Algorithms» more  SODA 2000»
15 years 8 months ago
Communication complexity of document exchange
We address the problem of minimizing the communication involved in the exchange of similar documents. We consider two users, A and B, who hold documents x and y respectively. Neit...
Graham Cormode, Mike Paterson, Süleyman Cenk ...
JNW
2006
118views more  JNW 2006»
15 years 6 months ago
UMTS Capacity and Throughput Maximization for Different Spreading Factors
An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power con...
Robert Akl, Son Nguyen