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» Introduction to Randomized Algorithms
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ICML
2004
IEEE
15 years 9 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
CCECE
2009
IEEE
15 years 9 months ago
Experimental validation of statistical algorithm for diagnosis of damage fault
A statistical algorithm was developed for the damage fault diagnosis and prognosis tool and the present work focuses on the experimental validation. The oxide scale growth experim...
Amar Kumar, Amiya Nayak, Alka Srivastava, Nita Goe...
FSTTCS
2006
Springer
15 years 7 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 7 months ago
Multi-objective genetic algorithms for pipe arrangement design
This paper presents an automatic design method for piping arrangement. A pipe arrangement design problem is proposed for a space in which many pipes and objects co-exist. This pro...
Satoshi Ikehira, Hajime Kimura
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 7 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock