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MST
2006
149views more  MST 2006»
13 years 10 months ago
Parameterized Intractability of Distinguishing Substring Selection
A central question in computational biology is the design of genetic markers to distinguish between two given sets of (DNA) sequences. This question is formalized as the NP-comple...
Jens Gramm, Jiong Guo, Rolf Niedermeier
NPL
2006
172views more  NPL 2006»
13 years 10 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
PVLDB
2008
127views more  PVLDB 2008»
13 years 9 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
VTC
2010
IEEE
177views Communications» more  VTC 2010»
13 years 8 months ago
Randomized Robot-Assisted Relocation of Sensors for Coverage Repair in Wireless Sensor Networks
—In wireless sensor networks (WSN), stochastic node dropping and unpredictable node failure greatly impair coverage, creating sensing holes, while locally redundant sensors exist...
Greg Fletcher, Xu Li, Amiya Nayak, Ivan Stojmenovi...
BMCBI
2010
164views more  BMCBI 2010»
13 years 7 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...