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» A Comparative Study of 2QBF Algorithms
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ICML
2001
IEEE
16 years 6 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
RECOMB
2008
Springer
16 years 6 months ago
DLIGHT - Lateral Gene Transfer Detection Using Pairwise Evolutionary Distances in a Statistical Framework
Abstract. This paper presents an algorithm to detect lateral gene transfer (LGT) on the basis of pairwise evolutionary distances. The prediction is made from a likelihood ratio der...
Christophe Dessimoz, Daniel Margadant, Gaston H. G...
SIGMOD
2003
ACM
129views Database» more  SIGMOD 2003»
16 years 6 months ago
Efficient Processing of Joins on Set-valued Attributes
Object-oriented and object-relational DBMS support setvalued attributes, which are a natural and concise way to model complex information. However, there has been limited research...
Nikos Mamoulis
ACSC
2009
IEEE
16 years 25 days ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
IV
2009
IEEE
128views Visualization» more  IV 2009»
16 years 20 days ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber