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KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 2 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
SBIA
1998
Springer
15 years 2 months ago
Darwinci: Creating Bridges to Creativity
This paper presents Darwinci, a system that generates new ideas, using a multi-domain knowledge base composed by musical and drawing structures. Its theoretical background comes fr...
Francisco C. Pereira, Penousal Machado, Amí...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 4 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 1 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 1 months ago
Overcoming hierarchical difficulty by hill-climbing the building block structure
The Building Block Hypothesis suggests that Genetic Algorithms (GAs) are well-suited for hierarchical problems, where efficient solving requires proper problem decomposition and a...
David Iclanzan, Dan Dumitrescu