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112
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CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 2 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
139
Voted
MICRO
2010
IEEE
149views Hardware» more  MICRO 2010»
15 years 21 days ago
Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels
Wide Single Instruction, Multiple Thread (SIMT) architectures often require a static allocation of thread groups that are executed in lockstep throughout the entire application ker...
Michael Steffen, Joseph Zambreno
128
Voted
RECOMB
2009
Springer
15 years 9 months ago
Reconstructing Histories of Complex Gene Clusters on a Phylogeny
Abstract. Clusters of genes that have evolved by repeated segmental duplication present difficult challenges throughout genomic analysis, from sequence assembly to functional analy...
Tomás Vinar, Brona Brejová, Giltae S...
152
Voted
CVPR
2009
IEEE
16 years 10 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
137
Voted
ICCS
2009
Springer
15 years 9 months ago
Generating Empirically Optimized Composed Matrix Kernels from MATLAB Prototypes
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
Boyana Norris, Albert Hartono, Elizabeth R. Jessup...