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» Decision Theoretic Foundations of Graphical Model Selection
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NIPS
2004
13 years 8 months ago
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
DCC
2006
IEEE
14 years 6 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
TIDSE
2004
Springer
14 years 1 days ago
Transferring Game Mastering Laws to Interactive Digital Storytelling
The Interactive Dilemma is the inevitable conflict between author’s determinism and interactor’s freedom. There are some approaches that try to tackle it, using strategies and...
Federico Peinado, Pablo Gervás
ICCV
2001
IEEE
14 years 8 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
TWC
2008
245views more  TWC 2008»
13 years 6 months ago
Cross-Layer Optimal Policies for Spatial Diversity Relaying in Mobile Ad Hoc Networks
In order to adapt to time-varying wireless channels, various channel-adaptive schemes have been proposed to exploit inherent spatial diversity in mobile/wireless ad hoc networks w...
Jing Ai, Alhussein A. Abouzeid, Zhenzhen Ye