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» New Algorithms for Learning in Presence of Errors
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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 1 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 10 months ago
Adaptive control for plants in the presence of actuator and sensor hysteresis nonlinearities
-This paper discusses the output control for a linear plant containing uncertain hysteresis nonlinearities in actuator and sensor devices simultaneously, where the hysteresis is de...
Xinkai Chen, Toshikuni Ozaki
FOCS
2006
IEEE
14 years 1 months ago
New Results for Learning Noisy Parities and Halfspaces
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...
Vitaly Feldman, Parikshit Gopalan, Subhash Khot, A...
CIARP
2008
Springer
13 years 9 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
COLT
1999
Springer
13 years 11 months ago
On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
Rocco A. Servedio