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» Using model knowledge for learning inverse dynamics
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149
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TSP
2010
14 years 10 months ago
Uplink synchronization in OFDMA spectrum-sharing systems
Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably compli...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor
186
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AI
1998
Springer
15 years 3 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
138
Voted
MLMI
2004
Springer
15 years 9 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
109
Voted
NIPS
1997
15 years 5 months ago
Using Expectation to Guide Processing: A Study of Three Real-World Applications
In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
Shumeet Baluja
100
Voted
BPM
2009
Springer
126views Business» more  BPM 2009»
15 years 7 months ago
Micro Workflow Gestural Analysis: Representation in Social Business Processes
Abstract. Enterprises are finding limitations with current modelling and hierarchical methodologies which have human agents as a key component. By requiring a priori knowledge of b...
Ben Jennings, Anthony Finkelstein