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JMLR
2006
140views more  JMLR 2006»
15 years 3 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
BIOINFORMATICS
2000
149views more  BIOINFORMATICS 2000»
15 years 3 months ago
MaxSub: an automated measure for the assessment of protein structure prediction quality
Motivation: Evaluating the accuracy of predicted models is critical for assessing structure prediction methods. Because this problem is not trivial, a large number of different as...
Naomi Siew, Arne Elofsson, Leszek Rychlewski, Dani...
129
Voted
VIS
2007
IEEE
235views Visualization» more  VIS 2007»
16 years 4 months ago
Efficient Surface Reconstruction using Generalized Coulomb Potentials
We propose a novel, geometrically adaptive method for surface reconstruction from noisy and sparse point clouds, without orientation information. The method employs a fast convecti...
Andrei C. Jalba, Jos B. T. M. Roerdink
MP
2006
56views more  MP 2006»
15 years 3 months ago
Primal-dual nonlinear rescaling method with dynamic scaling parameter update
In this paper we developed a general primal-dual nonlinear rescaling method with dynamic scaling
Igor Griva, Roman A. Polyak
165
Voted
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
13 years 5 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri