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AAAI
2000
15 years 1 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 11 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 8 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 3 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 11 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...