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» The Instance Complexity Conjecture
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MICAI
2004
Springer
14 years 1 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
WISE
2005
Springer
14 years 1 months ago
Scalable Instance Retrieval for the Semantic Web by Approximation
Abstract. Approximation has been identified as a potential way of reducing the complexity of logical reasoning. Here we explore approximation for speeding up instance retrieval in...
Holger Wache, Perry Groot, Heiner Stuckenschmidt
APSEC
2000
IEEE
14 years 1 days ago
Enterprise modeling using class and instance models
Current object-oriented formalisms, such as UML, focus on describing class models and use instance models only for depicting scenarios. Little attention is being devoted to defini...
Rakesh Agarwal, Giorgio Bruno, Marco Torchiano
AAAI
2000
13 years 9 months ago
Generating Satisfiable Problem Instances
A major difficulty in evaluating incomplete local search style algorithms for constraint satisfaction problems is the need for a source of hard problem instances that are guarante...
Dimitris Achlioptas, Carla P. Gomes, Henry A. Kaut...
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 8 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...