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PR
2006
141views more  PR 2006»
13 years 7 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
ICC
2007
IEEE
124views Communications» more  ICC 2007»
14 years 1 months ago
On Achieving Maximum Network Lifetime Through Optimal Placement of Cluster-heads in Wireless Sensor Networks
—In a wireless sensor network, the network lifetime is an important issue when the size of the network is large. In order to make the network scalable, it is divided into a numbe...
Marudachalam Dhanaraj, C. Siva Ram Murthy
VLDB
2002
ACM
83views Database» more  VLDB 2002»
13 years 7 months ago
Searching on the Secondary Structure of Protein Sequences
In spite of the many decades of progress in database research, surprisingly scientists in the life sciences community still struggle with inefficient and awkward tools for queryin...
Laurie Hammel, Jignesh M. Patel
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
PKDD
2004
Springer
102views Data Mining» more  PKDD 2004»
14 years 28 days ago
Improving the Performance of the RISE Algorithm
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...
Aloísio Carlos de Pina, Gerson Zaverucha