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» Improving Rule Evaluation Using Multitask Learning
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128
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IJPP
2011
115views more  IJPP 2011»
14 years 5 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
112
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AUSAI
2003
Springer
15 years 7 months ago
Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s knowledge of a partic...
Richard Dazeley, Byeong Ho Kang
BMCBI
2007
128views more  BMCBI 2007»
15 years 2 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
ACE
2003
86views Education» more  ACE 2003»
15 years 3 months ago
A New Approach to a First Year Undergraduate Information Systems Course
This paper describes the development, implementation and evaluation of a new teaching approach for a large first year undergraduate course in information systems at the University...
Denise Tolhurst, Bob Baker
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 2 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná