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» Mental models of recursion
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108
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RAS
2010
117views more  RAS 2010»
14 years 11 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
111
Voted
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 7 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
110
Voted
BMCBI
2006
142views more  BMCBI 2006»
15 years 21 days ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
104
Voted
MST
2000
86views more  MST 2000»
15 years 13 days ago
Team Learning of Computable Languages
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
Sanjay Jain, Arun Sharma
82
Voted
DAC
1999
ACM
16 years 1 months ago
Equivalent Elmore Delay for RLC Trees
- Closed form solutions for the 50% delay, rise time, overshoots, and settling time of signals in an RLC tree are presented. These solutions have the same accuracy characteristics ...
Eby G. Friedman, José Luis Neves, Yehea I. ...