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COLT
2004
Springer
15 years 10 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
COLT
2006
Springer
15 years 10 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
VISUALIZATION
1995
IEEE
15 years 10 months ago
Sweeping Simplices: A Fast Iso-Surface Extraction Algorithm for Unstructured Grids
We present an algorithm that accelerates the extraction of iso-surfaces from unstructured grids by avoiding the traversal of the entire set of cells in the volume. The algorithm c...
Han-Wei Shen, Christopher R. Johnson
ECCV
2010
Springer
15 years 9 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...