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149
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IJCAI
2007
15 years 5 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
APCCM
2004
15 years 5 months ago
An Adaptive Information Retrieval System Based on Associative Networks
In this paper we present a multilingual information retrieval system that provides access to Tourism information by exploiting the intuitiveness of natural language. In particular...
Helmut Berger, Michael Dittenbach, Dieter Merkl
109
Voted
CORR
2010
Springer
140views Education» more  CORR 2010»
15 years 3 months ago
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that t...
João Carreira, Adrian Ion, Cristian Sminchi...
124
Voted
JNW
2008
99views more  JNW 2008»
15 years 3 months ago
Probabilistic Key Management Practical Concerns in Wireless Sensor Networks
The subject of Key Management in Wireless Sensor Networks has gained increased attention from the security community around the world in the last years. Several proposals were made...
Rui Miguel Soares Silva, Nuno Sidónio A. Pe...
119
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HEURISTICS
1998
252views more  HEURISTICS 1998»
15 years 3 months ago
Constraint Handling in Genetic Algorithms: The Set Partitioning Problem
In this paper we present a genetic algorithm-based heuristic for solving the set partitioning problem (SPP). The SPP is an important combinatorial optimisation problem used by man...
P. C. Chu, J. E. Beasley