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» Feature Markov Decision Processes
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89
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AIPS
2003
15 years 2 months ago
Recommendation as a Stochastic Sequential Decision Problem
Recommender systems — systems that suggest to users in e-commerce sites items that might interest them — adopt a static view of the recommendation process and treat it as a pr...
Ronen I. Brafman, David Heckerman, Guy Shani
ICIP
2004
IEEE
16 years 2 months ago
Feature-based intra-prediction mode decision for H.264
A fast mode decision method for Intra prediction in H.264 is proposed in this work to reduce the encoder complexity. The proposed algorithm adopts a multi-stage sequential mode de...
Changsung Kim, Hsuan-Huei Shih, C. C. Jay Kuo
91
Voted
NIPS
2004
15 years 2 months ago
Approximately Efficient Online Mechanism Design
Online mechanism design (OMD) addresses the problem of sequential decision making in a stochastic environment with multiple self-interested agents. The goal in OMD is to make valu...
David C. Parkes, Satinder P. Singh, Dimah Yanovsky
ICAI
2009
14 years 10 months ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 6 months ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos