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» A Boosting Algorithm for Regression
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VEE
2012
ACM
187views Virtualization» more  VEE 2012»
13 years 12 months ago
DDGacc: boosting dynamic DDG-based binary optimizations through specialized hardware support
Dynamic Binary Translators (DBT) and Dynamic Binary Optimization (DBO) by software are used widely for several reasons including performance, design simplification and virtualiza...
Demos Pavlou, Enric Gibert, Fernando Latorre, Anto...
ICASSP
2009
IEEE
15 years 11 months ago
A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive proce
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instant...
Petr Tichavský, Arie Yeredor, Zbynek Koldov...
IJCNN
2008
IEEE
15 years 10 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
PAMI
2012
13 years 6 months ago
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem
Abstract—We consider two desired properties of learning algorithms: sparsity and algorithmic stability. Both properties are believed to lead to good generalization ability. We sh...
Huan Xu, Constantine Caramanis, Shie Mannor
EUSFLAT
2007
150views Fuzzy Logic» more  EUSFLAT 2007»
15 years 5 months ago
Competitive Self-adaptation in Evolutionary Algorithms
Heuristic search for the global minimum is studied. This paper is focused on the adaptation of control parameters in differential evolution (DE) and in controlled random search (...
Josef Tvrdík, Ivan Krivý