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» How to process uncertainty in machine learning
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CIDR
2003
106views Algorithms» more  CIDR 2003»
15 years 4 months ago
Speculative Query Processing
Speculation is an every day phenomenon whereby one acts in anticipation of particular conditions that are likely to hold in the future. Computer science research has seen many suc...
Neoklis Polyzotis, Yannis E. Ioannidis
138
Voted
ICML
2004
IEEE
16 years 4 months ago
Apprenticeship learning via inverse reinforcement learning
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
Pieter Abbeel, Andrew Y. Ng
115
Voted
ECTEL
2007
Springer
15 years 9 months ago
Learning Tools in Higher Education: Products, Characteristics, Procurement
Abstract. Technology-enhanced learning has gained momentum in European Higher Education, especially in recent years. In what way this movement has influenced organisations, their ...
Fridolin Wild, Stefan Sobernig
136
Voted
ICML
2001
IEEE
16 years 4 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
148
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
Richard E. Turner, Maneesh Sahani