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» Self-taught learning: transfer learning from unlabeled data
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CCS
2010
ACM
13 years 12 months ago
Controlling data disclosure in computational PIR protocols
Private Information Retrieval (PIR) protocols allow users to learn data items stored at a server which is not fully trusted, without disclosing to the server the particular data e...
Ning Shang, Gabriel Ghinita, Yongbin Zhou, Elisa B...
SIGECOM
2011
ACM
259views ECommerce» more  SIGECOM 2011»
12 years 10 months ago
Designing adaptive trading agents
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
David Pardoe, Peter Stone
JMLR
2011
192views more  JMLR 2011»
13 years 2 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 8 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
ATAL
2008
Springer
13 years 9 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp