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» Boosting Using Branching Programs
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EUROPAR
2005
Springer
14 years 27 days ago
The Combined Perceptron Branch Predictor
— Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two ...
Matteo Monchiero, Gianluca Palermo
ISCA
1989
IEEE
120views Hardware» more  ISCA 1989»
13 years 11 months ago
Comparing Software and Hardware Schemes For Reducing the Cost of Branches
Pipelining has become a common technique to increase throughput of the instruction fetch, instruction decode, and instruction execution portions of modern computers. Branch instru...
Wen-mei W. Hwu, Thomas M. Conte, Pohua P. Chang
ISCA
1995
IEEE
109views Hardware» more  ISCA 1995»
13 years 11 months ago
Next Cache Line and Set Prediction
Accurate instruction fetch and branch prediction is increasingly important on today’s wide-issue architectures. Fetch prediction is the process of determining the next instructi...
Brad Calder, Dirk Grunwald
ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 7 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
NIPS
2003
13 years 8 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann