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FUIN
2002
132views more  FUIN 2002»
13 years 5 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
FLAIRS
2010
13 years 7 months ago
Meta-Prediction for Collective Classification
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
13 years 10 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
BMCBI
2005
132views more  BMCBI 2005»
13 years 5 months ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
WAIM
2010
Springer
13 years 3 months ago
Hotspot District Trajectory Prediction
Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximat...
Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang,...