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PRL
2007
137views more  PRL 2007»
13 years 9 months ago
Improving nearest neighbor rule with a simple adaptive distance measure
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
EUSFLAT
2009
140views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
Incremental Possibilistic Approach for Online Clustering and Classification
In this paper, we propose to develop the supervised classification method Fuzzy Pattern Matching to be in addition a non supervised one. The goal is to monitor dynamic systems with...
Moamar Sayed Mouchaweh, Bernard Riera

Book
594views
15 years 8 months ago
A Gentle Introduction to Haskell
The book covers the following topics: Values, Types, Functions, Case Expressions and Pattern Matching, Type Classes and Overloading, Input/Output, Standard Haskell Classes Monads,...
Paul Hudak, John Peterson, Joseph Fasel
SEKE
2005
Springer
14 years 3 months ago
A State-Based Approach to Testing Aspect-Oriented Programs
This paper presents a state-based approach to testing aspect-oriented programs. Aspectual state models, as an extension to the testable FREE state model of classes, are exploited ...
Dianxiang Xu, Weifeng Xu, Kendall E. Nygard
IWPC
2003
IEEE
14 years 3 months ago
Understanding Change-Proneness in OO Software through Visualization
During software evolution, adaptive, and corrective maintenance are common reasons for changes. Often such changes cluster around key components. It is therefore important to anal...
James M. Bieman, Anneliese Amschler Andrews, Helen...