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» Learning Distance Functions using Equivalence Relations
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BMCBI
2005
93views more  BMCBI 2005»
14 years 9 months ago
Multiple sequence alignment accuracy and evolutionary distance estimation
Background: Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pai...
Michael S. Rosenberg
CG
2000
Springer
15 years 2 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
METRICS
2005
IEEE
15 years 3 months ago
Metrics of Software Architecture Changes Based on Structural Distance
Software architecture is an important form of abstraction, representing the overall system structure and the relationship among components. When software is modified from one ver...
Taiga Nakamura, Victor R. Basili
CORR
2006
Springer
102views Education» more  CORR 2006»
14 years 9 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi
COLT
2006
Springer
15 years 1 months ago
Efficient Learning Algorithms Yield Circuit Lower Bounds
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
Lance Fortnow, Adam R. Klivans