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» A general algorithm for data dependence analysis
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ICML
2004
IEEE
16 years 7 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 4 months 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
TIT
1998
96views more  TIT 1998»
15 years 6 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
PLDI
2006
ACM
16 years 27 days 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...
GLOBECOM
2006
IEEE
16 years 1 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...