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ICML
2009
IEEE
15 years 10 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
131
Voted
WWW
2010
ACM
15 years 7 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
120
Voted
JUCS
2007
90views more  JUCS 2007»
15 years 3 months ago
Distance Learning and Student Satisfaction in Java Programming Courses
: Student satisfaction with distance learning is impacted by a variety of factors, including interaction with the instructor and the structure of the course. Satisfaction with dist...
Amber Settle, Chad Settle
137
Voted
CRYPTO
2005
Springer
72views Cryptology» more  CRYPTO 2005»
15 years 9 months ago
Unconditional Characterizations of Non-interactive Zero-Knowledge
Abstract. Non-interactive zero-knowledge (NIZK) proofs have been investigated in two models: the Public Parameter model and the Secret Parameter model. In the former, a public stri...
Rafael Pass, Abhi Shelat
143
Voted
WSC
1997
15 years 4 months ago
AutoMod Tutorial
The AutoModTM simulation system differs significantly from other systems because of its ability to deal with the physical elements of a system in physical (graphical) terms and th...
Matthew W. Rohrer