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» A distributed machine learning framework
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109
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ASPLOS
2008
ACM
15 years 2 months ago
Merge: a programming model for heterogeneous multi-core systems
In this paper we propose the Merge framework, a general purpose programming model for heterogeneous multi-core systems. The Merge framework replaces current ad hoc approaches to p...
Michael D. Linderman, Jamison D. Collins, Hong Wan...
127
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 10 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
95
Voted
ICIP
2006
IEEE
16 years 2 months ago
Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration
In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover a...
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow...
103
Voted
AOIS
2003
15 years 2 months ago
I-MINDS: An Agent-Oriented Information System for Applications in Education
Abstract. In this paper, we describe an Intelligent Multiagent Infrastructure for Distributed Systems in Education (or I-MINDS) framework that applies an agent-oriented information...
Leen-Kiat Soh, Xuli Liu, XueSong Zhang, Jameela Al...
94
Voted
GPEM
2000
121views more  GPEM 2000»
15 years 17 days ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang