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» A general algorithm for data dependence analysis
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CODES
2005
IEEE
15 years 9 months ago
Improving superword level parallelism support in modern compilers
Multimedia vector instruction sets are becoming ubiquitous in most of the embedded systems used for multimedia, networking and communications. However, current compiler technology...
Christian Tenllado, Luis Piñuel, Manuel Pri...
163
Voted
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 7 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
112
Voted
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 7 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
169
Voted
IWCMC
2009
ACM
15 years 10 months ago
Joint turbo equalization for relaying schemes over frequency-selective fading channels
We propose a single carrier joint frequency domain equalization and interference cancellation (FDE-IC) with diversity combining for different relaying schemes. We consider amplif...
Houda Chafnaji, Tarik Ait-Idir, Halim Yanikomerogl...
131
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi