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JMLR
2010
192views more  JMLR 2010»
15 years 1 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
STOC
2002
ACM
121views Algorithms» more  STOC 2002»
16 years 7 months ago
Average case analysis for batched disk scheduling and increasing subsequences
We consider the problem of estimating the tour length and finding approximation algorithms for the asymmetric traveling salesman problem arising from the disk scheduling problem. ...
Eitan Bachmat
CIKM
2009
Springer
16 years 1 months ago
Fast and effective histogram construction
Histogram construction or sequence segmentation is a basic task with applications in database systems, information retrieval, and knowledge management. Its aim is to approximate a...
Felix Halim, Panagiotis Karras, Roland H. C. Yap
ICNP
2006
IEEE
16 years 1 months ago
Benefit-based Data Caching in Ad Hoc Networks
—Data caching can significantly improve the efficiency of information access in a wireless ad hoc network by reducing the access latency and bandwidth usage. However, designing e...
Bin Tang, Himanshu Gupta, Samir R. Das
WAOA
2005
Springer
112views Algorithms» more  WAOA 2005»
16 years 19 days ago
Partial Multicuts in Trees
Let T = (V, E) be an undirected tree, in which each edge is associated with a non-negative cost, and let {s1, t1}, . . . , {sk, tk} be a collection of k distinct pairs of vertices...
Asaf Levin, Danny Segev