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RECONFIG
2009
IEEE
182views VLSI» more  RECONFIG 2009»
14 years 1 months ago
Scalability Studies of the BLASTn Scan and Ungapped Extension Functions
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
Siddhartha Datta, Ron Sass
NIPS
2004
13 years 8 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 7 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
ICML
2005
IEEE
14 years 7 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
AMAI
2008
Springer
13 years 6 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens