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IJCAI
1989
15 years 7 months ago
Concept Formation by Incremental Conceptual Clustering
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Mirsad Hadzikadic, David Y. Y. Yun
ECAI
2010
Springer
15 years 7 months ago
Restarts and Nogood Recording in Qualitative Constraint-based Reasoning
Abstract. This paper introduces restart and nogood recording techniques in the domain of qualitative spatial and temporal reasoning. Nogoods and restarts can be applied orthogonall...
Matthias Westphal, Stefan Wölfl, Jason Jingsh...
CORR
2008
Springer
53views Education» more  CORR 2008»
15 years 6 months ago
An ESPRIT-based approach for Initial Ranging in OFDMA systems
Abstract--In this letter, an initial ranging scheme for orthogonal frequency-division multiple-access systems is proposed by which users that intend to establish a communication li...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor
ISCI
2008
88views more  ISCI 2008»
15 years 6 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
16 years 6 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen