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114
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NIPS
2008
15 years 5 months ago
An Online Algorithm for Maximizing Submodular Functions
We present an algorithm for solving a broad class of online resource allocation . Our online algorithm can be applied in environments where abstract jobs arrive one at a time, and...
Matthew J. Streeter, Daniel Golovin
103
Voted
ACE
2003
115views Education» more  ACE 2003»
15 years 5 months ago
Impacting the Learning Experience
The availability of technology has seen the development of online asynchronous discussion boards for use in teaching and learning. This paper explores the use of this medium withi...
Sandra Barker
150
Voted
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 11 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
133
Voted
ICML
2005
IEEE
16 years 4 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof
128
Voted
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 10 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...