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IDEAL
2004
Springer
14 years 23 days ago
Generating and Applying Rules for Interval Valued Fuzzy Observations
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
André de Korvin, Chenyi Hu, Ping Chen
NETWORKS
2010
13 years 5 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ISVC
2010
Springer
13 years 5 months ago
Low Cost VR Meets Low Cost Multi-touch
This paper presents the design, implementation, and lessons learned from developing a multi-surface VR visualization environment. The environment combines a head-tracked vertical V...
Dane M. Coffey, Fedor Korsakov, Daniel F. Keefe
GECCO
2004
Springer
14 years 23 days ago
Experimental Evaluation of Discretization Schemes for Rule Induction
This paper proposes an experimental evaluation of various discretization schemes in three different evolutionary systems for inductive concept learning. The various discretization...
Jesús S. Aguilar-Ruiz, Jaume Bacardit, Fede...
CORR
2002
Springer
95views Education» more  CORR 2002»
13 years 7 months ago
Types of Cost in Inductive Concept Learning
Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of concept learning, there are many different types of ...
Peter D. Turney