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PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
14 years 3 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
14 years 3 months ago
On the linear-exponential filtering problem for general Gaussian processes
The explicit solution of the filtering problem with exponential criteria for a general Gaussian signal is obtained through an approach which is based on a conditional Cameron-Mart...
Marina L. Kleptsyna, Alain Le Breton, Michel Viot
COLT
2008
Springer
14 years 28 days ago
Learning Rotations
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
Adam M. Smith, Manfred K. Warmuth
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 11 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
JMLR
2008
79views more  JMLR 2008»
13 years 11 months ago
Manifold Learning: The Price of Normalization
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...