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DIAGRAMS
2004
Springer
14 years 1 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
12 years 11 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...
ACL
2000
13 years 9 months ago
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning
As an application of NLP to computer-assisted language learning(CALL) , we propose a diagnostic processing of Japanese being able to detect errors and inappropriateness of sentenc...
Jun'ichi Kakegawa, Hisayuki Kanda, Eitaro Fujioka,...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
ICML
2009
IEEE
14 years 9 months ago
Route kernels for trees
Almost all tree kernels proposed in the literature match substructures without taking into account their relative positioning with respect to one another. In this paper, we propos...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...