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COLT
2004
Springer
15 years 8 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 8 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 8 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 8 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 7 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...