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» Using Gaussian Processes to Optimize Expensive Functions
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DIS
2008
Springer
14 years 16 days ago
Unsupervised Classifier Selection Based on Two-Sample Test
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Timo Aho, Tapio Elomaa, Jussi Kujala
PPDP
2001
Springer
14 years 3 months ago
An Implementation of Narrowing Strategies
This paper describes an implementation of narrowing, an essential component of implementations of modern functional logic languages. These implementations rely on narrowing, in pa...
Sergio Antoy, Michael Hanus, Bart Massey, Frank St...
DMIN
2006
122views Data Mining» more  DMIN 2006»
14 years 4 days ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic
SIAMSC
2008
127views more  SIAMSC 2008»
13 years 10 months ago
Fast (Structured) Newton Computations
Abstract. Many vector-valued functions, representing expensive computations, are also structured computations. In this case the calculation of the Newton step can be greatly accele...
Thomas F. Coleman, Wei Xu
EOR
2010
101views more  EOR 2010»
13 years 5 months ago
A linear implementation of PACMAN
PACMAN (Passive and Active Compensability Multicriteria ANalysis) is a multiple criteria methodology based on a decision maker oriented notion of compensation, called compensabili...
Silvia Angilella, Alfio Giarlotta, Fabio Lamantia