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» Using Gaussian Processes to Optimize Expensive Functions
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CLUSTER
2008
IEEE
14 years 17 days ago
Improving message passing over Ethernet with I/OAT copy offload in Open-MX
Abstract--Open-MX is a new message passing layer implemented on top of the generic Ethernet stack of the Linux kernel. Open-MX works on all Ethernet hardware, but it suffers from e...
Brice Goglin
SIGIR
2009
ACM
14 years 5 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
14 years 5 months ago
Learning image alignment without local minima for face detection and tracking
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Minh Hoai Nguyen, Fernando De la Torre
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 4 months ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz
EOR
2007
165views more  EOR 2007»
13 years 10 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