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ICASSP
2009
IEEE
14 years 2 months ago
Improved clustered hierarchical tandem system with bottom-up processing
The outputs of multi-layer perceptron (MLP) classifiers have been successfully used in tandem systems as features for HMM-based automatic speech recognition. In a previous paper, ...
Shuo-Yiin Chang, Lin-Shan Lee
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
14 years 1 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
MICRO
1995
IEEE
217views Hardware» more  MICRO 1995»
14 years 1 months ago
Improving instruction-level parallelism by loop unrolling and dynamic memory disambiguation
Exploitation ofinstruction-levelparallelism is an ejfective mechanism for improving the performance of modern super-scalar/VLIW processors. Various software techniques can be appl...
Jack W. Davidson, Sanjay Jinturkar
AAAI
2007
14 years 16 days ago
Aggregating User-Centered Rankings to Improve Web Search
This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists ...
Lin Li, Zhenglu Yang, Masaru Kitsuregawa
EVOW
2008
Springer
13 years 12 months ago
Multiobjective Prototype Optimization with Evolved Improvement Steps
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Jirí Kubalík, Richard Mordinyi, Stef...