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NIPS
1994
15 years 8 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 7 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
155
Voted
EOR
2010
99views more  EOR 2010»
15 years 6 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 6 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
PAMI
2008
160views more  PAMI 2008»
15 years 6 months ago
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis