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HPCA
2009
IEEE
16 years 6 months ago
Lightweight predication support for out of order processors
The benefits of Out of Order (OOO) processing are well known, as is the effectiveness of predicated execution for unpredictable control flow. However, as previous research has dem...
Mark Stephenson, Lixin Zhang, Ram Rangan
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 6 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 6 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 6 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
16 years 6 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...