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ICANN
2001
Springer
13 years 9 months ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
ISCAS
2006
IEEE
94views Hardware» more  ISCAS 2006»
13 years 11 months ago
On the sensitivity of BDDs with respect to path-related objective functions
— Reduced ordered Binary Decision Diagrams (BDDs) are a data structure for efficient representation and manipulation of Boolean functions. They are frequently used in logic synt...
Rüdiger Ebendt, Rolf Drechsler
ECAI
2008
Springer
13 years 7 months ago
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
FSS
2002
99views more  FSS 2002»
13 years 5 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
ICML
2002
IEEE
14 years 6 months ago
An Alternate Objective Function for Markovian Fields
Sham Kakade, Yee Whye Teh, Sam T. Roweis