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» On the Convergence of Bound Optimization Algorithms
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TIT
2008
76views more  TIT 2008»
13 years 7 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
IPL
2008
146views more  IPL 2008»
13 years 7 months ago
A running time analysis of an Ant Colony Optimization algorithm for shortest paths in directed acyclic graphs
In this paper, we prove polynomial running time bounds for an Ant Colony Optimization (ACO) algorithm for the single-destination shortest path problem on directed acyclic graphs. ...
Nattapat Attiratanasunthron, Jittat Fakcharoenphol
ICML
1998
IEEE
14 years 8 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 1 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
AMC
2007
116views more  AMC 2007»
13 years 7 months ago
Convergence of HLS estimation algorithms for multivariable ARX-like systems
A hierarchical least squares (HLS) algorithm is derived in details for identifying MIMO ARX-like systems based on the hierarchical identification principle. It is shown that the ...
Lingyun Wang, Feng Ding, Peter X. Liu