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» Prediction on Spike Data Using Kernel Algorithms
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NAACL
2010
15 years 10 days 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
16 years 3 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 9 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
16 years 4 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 7 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