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» Machine-Learning Applications of Algorithmic Randomness
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ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 3 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
COLCOM
2005
IEEE
15 years 7 months ago
SLACER: randomness to cooperation in peer-to-peer networks
Peer-to-peer applications can benefit from human friendship networks (e.g., e-mail contacts or instant message buddy lists). However these are not always available. We propose an...
David Hales, Stefano Arteconi, Özalp Babaoglu
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
16 years 3 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
VMV
2001
209views Visualization» more  VMV 2001»
15 years 3 months ago
A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and...
Barbara Caputo, Sahla Bouattour, Dietrich Paulus
APPROX
2007
Springer
137views Algorithms» more  APPROX 2007»
15 years 8 months ago
A Knapsack Secretary Problem with Applications
We consider situations in which a decision-maker with a fixed budget faces a sequence of options, each with a cost and a value, and must select a subset of them online so as to ma...
Moshe Babaioff, Nicole Immorlica, David Kempe, Rob...