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» A clustering method that uses lossy aggregation of data
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117
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ACMICEC
2007
ACM
144views ECommerce» more  ACMICEC 2007»
15 years 4 months ago
Needs-based analysis of online customer reviews
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
Thomas Y. Lee
80
Voted
ICMLA
2007
15 years 1 months ago
SVMotif: A Machine Learning Motif Algorithm
We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
104
Voted
SIGSOFT
2004
ACM
15 years 5 months ago
Correlation exploitation in error ranking
Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easi...
Ted Kremenek, Ken Ashcraft, Junfeng Yang, Dawson R...
116
Voted
PAMI
2008
161views more  PAMI 2008»
15 years 12 days ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
129
Voted
HPCC
2005
Springer
15 years 6 months ago
An Energy-Efficient Uni-scheduling Based on S-MAC in Wireless Sensor Network
S-MAC is a MAC (Medium Access Control) protocol as specialized for the wireless sensor network in order to sacrifice transmission delay and extend the working life of the whole sen...
Tae-Seok Lee, Yuan Yang, Ki-Jeong Shin, Myong-Soon...