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» Learning to Predict Rare Events in Event Sequences
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RECOMB
2002
Springer
14 years 8 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
ICMCS
2007
IEEE
168views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An Information Theoretic Model of Spatiotemporal Visual Saliency
This paper presents a principled and practical method for the computation of visual saliency of spatiotemporal events in full motion videos. Based on the assumption that uniquenes...
Guoping Qiu, Xiaodong Gu, Zhibo Chen, Quqing Chen,...
EDM
2010
163views Data Mining» more  EDM 2010»
13 years 9 months ago
Can Order of Access to Learning Resources Predict Success?
Learning management systems capture student's interactions with the course contents in the form of event logs, including the order in which resources are accessed. We build on...
Hema Soundranayagam, Kalina Yacef
DAWAK
2004
Springer
13 years 11 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
ICMLA
2009
13 years 5 months ago
Discovering Rules from Disk Events for Predicting Hard Drive Failures
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...