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» A general algorithm for data dependence analysis
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ICML
2004
IEEE
16 years 3 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
16 years 5 days ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
121
Voted
TIT
1998
96views more  TIT 1998»
15 years 2 months ago
Sequential Prediction of Individual Sequences Under General Loss Functions
Abstract— We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss function. The goal is to predict on each...
David Haussler, Jyrki Kivinen, Manfred K. Warmuth
105
Voted
PLDI
2006
ACM
15 years 8 months ago
An experimental analysis of self-adjusting computation
Dependence graphs and memoization can be used to efficiently update the output of a program as the input changes dynamically. Recent work has studied techniques for combining the...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Kan...
97
Voted
GLOBECOM
2006
IEEE
15 years 8 months ago
Optimized Transmission for Upstream Vectored DSL Systems Using Zero-Forcing Generalized Decision-Feedback Equalizers
— In upstream vectored DSL transmission, the far-end crosstalk (FEXT) can be completely cancelled by using zeroforcing generalized decision-feedback equalizers (ZF-GDFE). When th...
Chiang-Yu Chen, Kibeom Seong, Rui Zhang, John M. C...