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ICML
2007
IEEE
16 years 4 months ago
Restricted Boltzmann machines for collaborative filtering
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hin...
AHS
2007
IEEE
349views Hardware» more  AHS 2007»
15 years 9 months ago
A Low Power Implementation of H.264 Adaptive Deblocking Filter Algorithm
In this paper, we present a low power implementation of H.264 adaptive deblocking filter (DBF) algorithm on ARM Versatile / PB926EJ-S Development Board. The DBF hardware is implem...
Mustafa Parlak, Ilker Hamzaoglu
ACMSE
2006
ACM
15 years 9 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
15 years 7 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
CSCLP
2006
Springer
15 years 6 months ago
Cost-Based Filtering for Stochastic Inventory Control
Abstract. An interesting class of production/inventory control problems considers a single product and a single stocking location, given a stochastic demand with a known non-statio...
Armagan Tarim, Brahim Hnich, Roberto Rossi, Steven...