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NIPS
1994
13 years 10 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...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
14 years 1 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...
WG
2005
Springer
14 years 2 months ago
Fixed-Parameter Algorithms for Protein Similarity Search Under mRNA Structure Constraints
Abstract. In the context of protein engineering, we consider the problem of computing an mRNA sequence of maximal codon-wise similarity to a given mRNA (and consequently, to a give...
Guillaume Blin, Guillaume Fertin, Danny Hermelin, ...
EUC
2006
Springer
14 years 9 days ago
Cross-Layer Duty Cycle Scheduling with Data Aggregation Routing in Wireless Sensor Networks
Abstract. Well-scheduled communications, in conjunction with the aggregation of data reduce the energy waste on idle listening and redundant transmissions. In addition, the adjusta...
Yean-Fu Wen, Frank Yeong-Sung Lin
ISSAC
1999
Springer
116views Mathematics» more  ISSAC 1999»
14 years 27 days ago
On the Genericity of the Modular Polynomial GCD Algorithm
In this paper we study the generic setting of the modular GCD algorithm. We develop the algorithm for multivariate polynomials over Euclidean domains which have a special kind of ...
Erich Kaltofen, Michael B. Monagan