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ICML
2004
IEEE
16 years 7 months ago
Dynamic abstraction in reinforcement learning via clustering
Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...
Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein
ICPR
2000
IEEE
15 years 11 months ago
From Video Shot Clustering to Sequence Segmentation
Automatically building high-level segments to structure information in video documents is a challenging task. This paper presents a method based on the cophenetic criterion, a dis...
Emmanuel Veneau, Rémi Ronfard, Patrick Bout...
WWW
2002
ACM
16 years 7 months ago
Clustering for opportunistic communication
We describe ongoing work on I2I, a system aimed at fostering opportunistic communication among users viewing or manipulating content on the Web and in productivity applications. U...
Jay Budzik, Shannon Bradshaw, Xiaobin Fu, Kristian...
ICC
2007
IEEE
16 years 1 months ago
Achievable Sum-Rate Analysis of Practical Multiuser Scheduling Schemes with Limited Feedback
— We study the performance of fair physical layer schedulers that select a pair of orthogonal users for simultaneous transmission. The schemes rely on partial channel state infor...
Alexis A. Dowhuszko, Graciela Corral-Briones, Jyri...
ICTAI
1996
IEEE
15 years 11 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington