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» Presenting Data from Experiments in Algorithmics
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JMLR
2008
230views more  JMLR 2008»
15 years 5 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
CAV
2005
Springer
106views Hardware» more  CAV 2005»
15 years 10 months ago
Incremental Algorithms for Inter-procedural Analysis of Safety Properties
Automaton-based static program analysis has proved to be an effective tool for bug finding. Current tools generally re-analyze a program from scratch in response to a change in t...
Christopher L. Conway, Kedar S. Namjoshi, Dennis D...
158
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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 5 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
IBPRIA
2003
Springer
15 years 10 months ago
Reconstruction of Quadrics from Two Polarization Views
Abstract. This paper addresses the problem of reconstructing textureless objects of quadric like shape. It is known that a quadric can be uniquely recovered from its apparent conto...
Stefan Rahmann
ICML
2007
IEEE
16 years 5 months ago
Transductive regression piloted by inter-manifold relations
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...