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ICML
2008
IEEE
14 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
NOMS
2002
IEEE
127views Communications» more  NOMS 2002»
14 years 24 days ago
Intelligent search of correlated alarms from database containing noise data
Alarm correlation plays an important role in improving the service and reliability in modern telecommunication networks. Most previous research of alarm correlation didn’t consi...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
SECON
2007
IEEE
14 years 2 months ago
Feasibility of In-car Wireless Sensor Networks: A Statistical Evaluation
— Statistical characterization of in-car wireless communication channels has recently gained significance, mainly due to the possibility of deploying a wireless sensor network i...
Hsin-Mu Tsai, Wantanee Viriyasitavat, Ozan K. Tong...
BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
A classification model for distinguishing copy number variants from cancer-related alterations
Background: Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals can appear as recurrent changes in compa...
Irina Ostrovnaya, Gouri Nanjangud, Adam B. Olshen
BMCBI
2007
145views more  BMCBI 2007»
13 years 8 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...