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» Boosting Using Branching Programs
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EUROPAR
2005
Springer
15 years 7 months 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
93
Voted
ISCA
1989
IEEE
120views Hardware» more  ISCA 1989»
15 years 6 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»
15 years 5 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»
15 years 1 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
15 years 3 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