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» Prediction on Spike Data Using Kernel Algorithms
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NAACL
2010
14 years 7 months ago
Using Entity-Based Features to Model Coherence in Student Essays
We show how the Barzilay and Lapata entitybased coherence algorithm (2008) can be applied to a new, noisy data domain
Jill Burstein, Joel R. Tetreault, Slava Andreyev
ICML
2004
IEEE
15 years 10 months ago
Online and batch learning of pseudo-metrics
We describe and analyze an online algorithm for supervised learning of pseudo-metrics. The algorithm receives pairs of instances and predicts their similarity according to a pseud...
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng
PPOPP
2010
ACM
15 years 4 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
CVPR
2006
IEEE
15 years 11 months ago
Accelerated Kernel Feature Analysis
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xing...
SIGIR
2004
ACM
15 years 3 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann