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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 6 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
14 years 2 months ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
ICIP
2010
IEEE
13 years 6 months ago
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data
Hyperspectral imaging segmentation has been an active research area over the past few years. Despite the growing interest, some factors such as high spectrum variability are still...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
CORR
2010
Springer
73views Education» more  CORR 2010»
13 years 9 months ago
Exponential Family Hybrid Semi-Supervised Learning
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
Arvind Agarwal, Hal Daumé III
TON
2008
105views more  TON 2008»
13 years 8 months ago
Supporting multiple protection strategies in optical networks
This paper develops a framework to support multiple protection strategies in optical networks, which is in general applicable to any connection-oriented network. The capacity avail...
Srinivasan Ramasubramanian