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HEURISTICS
2008
92views more  HEURISTICS 2008»
15 years 1 months ago
Learning heuristics for basic block instruction scheduling
Instruction scheduling is an important step for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction scheduling is to ...
Abid M. Malik, Tyrel Russell, Michael Chase, Peter...
153
Voted
JMLR
2010
117views more  JMLR 2010»
14 years 8 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
98
Voted
IDA
2007
Springer
15 years 8 months ago
Combining Bagging and Random Subspaces to Create Better Ensembles
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Pance Panov, Saso Dzeroski
132
Voted
ICCAD
1995
IEEE
129views Hardware» more  ICCAD 1995»
15 years 5 months ago
Activity-driven clock design for low power circuits
In this paper we investigate activity-driven clock trees to reduce the dynamic power consumption of synchronous digital CMOS circuits. Sections of an activity-driven clock tree ca...
Gustavo E. Téllez, Amir H. Farrahi, Majid S...
112
Voted
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 1 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...