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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 4 months ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
BIB
2006
141views more  BIB 2006»
13 years 11 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
PVLDB
2010
93views more  PVLDB 2010»
13 years 9 months ago
Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation
The goal of a threshold query is to detect all objects whose score exceeds a given threshold. This type of query is used in many settings, such as data mining, event triggering, a...
Guy Sagy, Daniel Keren, Izchak Sharfman, Assaf Sch...
BMVC
2001
14 years 1 months ago
Tracking multiple sports players through occlusion, congestion and scale
Tracking sports players over a large playing area is a challenging problem. The players move quickly, and have large variations in their silhouettes. This paper presents a framewo...
Chris J. Needham, Roger D. Boyle
ISMB
1996
14 years 9 days ago
Finding Genes in DNA Using Decision Trees and Dynamic Programming
This study demonstratesthe use of decision tree classifiers as the basis for a general gene-finding system. The system uses a dynamic programmingalgorithm that. finds the optimal ...
Steven Salzberg, Xin Chen, John Henderson, Kenneth...