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CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
14 years 1 months ago
Asynchronous gossip algorithms for stochastic optimization
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...
Sundhar Srinivasan Ram, Angelia Nedic, Venugopal V...
AAAI
2006
13 years 9 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
AAAI
1998
13 years 9 months ago
A Feature-Based Learning Method for Theorem Proving
Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
Matthias Fuchs
DEBU
2000
95views more  DEBU 2000»
13 years 8 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
AAAI
1994
13 years 9 months ago
Automatically Tuning Control Systems for Simulated Legged Robots
Rather than create a control system from scratch each time we build a new robot creature, we would like to generate control systems automatically. I have implemented an algorithm ...
Robert Ringrose