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» Design Methods for Multiple-Valued Input Address Generators
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ICML
2004
IEEE
14 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ICIP
2002
IEEE
14 years 9 months ago
A method for color naming and description of color composition in images
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...
Aleksandra Mojsilovic
GECCO
2010
Springer
214views Optimization» more  GECCO 2010»
13 years 11 months ago
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Edgar Reehuis, Thomas Bäck
JSA
1998
72views more  JSA 1998»
13 years 7 months ago
Network conscious design of distributed real-time systems
In this paper, we present a network conscious approach to designing distributed real-time systems. Given a task graph design of the system, the end-to-end constraints on the input...
Jung Woo Park, Young Shin Kim, Seongsoo Hong, Mana...