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104
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ESWA
2008
128views more  ESWA 2008»
15 years 25 days ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
102
Voted
ESWA
2008
204views more  ESWA 2008»
15 years 25 days ago
A comparison of neural network and multiple regression analysis in modeling capital structure
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
Hsiao-Tien Pao
114
Voted
FUIN
2008
98views more  FUIN 2008»
15 years 24 days ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
95
Voted
CAL
2006
15 years 24 days ago
Probabilistic counter updates for predictor hysteresis and bias
Hardware predictor designers have incorporated hysteresis and/or bias to achieve desired behavior by increasing the number of bits per counter. Some resulting proposed predictor de...
Nicholas Riley, Craig B. Zilles
121
Voted
CCR
2006
103views more  CCR 2006»
15 years 24 days ago
A distributed traffic control scheme based on edge-centric resource management
The correct admission of flows in the Differentiated Services (DiffServ) environment is critical to provide stable and predictable quality of service (QoS) to the end user. Withou...
Yingxin Jiang, Aaron Striegel