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» A Model for the Prediction of R-tree Performance
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DAC
2005
ACM
16 years 7 months ago
Net weighting to reduce repeater counts during placement
We demonstrate how to use placement to ameliorate the predicted repeater explosion problem caused by poor interconnect scaling. We achieve repeater count reduction by dynamically ...
Brent Goplen, Prashant Saxena, Sachin S. Sapatneka...
ICML
2005
IEEE
16 years 7 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ICML
2003
IEEE
16 years 7 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
ICML
2000
IEEE
16 years 7 months ago
Behavioral Cloning of Student Pilots with Modular Neural Networks
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
Charles W. Anderson, Bruce A. Draper, David A. Pet...
WWW
2008
ACM
16 years 7 months ago
Collaborative filtering on skewed datasets
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
Somnath Banerjee, Krishnan Ramanathan