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AAAI
2000
14 years 11 months ago
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pedro Domingos
CORR
2007
Springer
105views Education» more  CORR 2007»
14 years 9 months ago
Empirical Evaluation of Four Tensor Decomposition Algorithms
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is ...
Peter D. Turney
EUROGRAPHICS
2010
Eurographics
15 years 6 months ago
Mesh Decomposition with Cross-Boundary Brushes
We present a new intuitive UI, which we call cross-boundary brushes, for interactive mesh decomposition. The user roughly draws one or more strokes across a desired cut and our sy...
Youyi Zheng and Chiew-Lan Tai
ICCAD
1997
IEEE
171views Hardware» more  ICCAD 1997»
15 years 1 months ago
The disjunctive decomposition of logic functions
In this paper we present an algorithm for converting a BDD representation of a logic function into a multiple-level netlist of disjoint-support subfunctions. On the theoretical si...
Valeria Bertacco, Maurizio Damiani
AI
1999
Springer
14 years 9 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...