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» Making inferences with small numbers of training sets
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IMC
2005
ACM
14 years 2 months ago
Poisson versus Periodic Path Probing (or, Does PASTA Matter?)
Abstract— The well-known PASTA (“Poisson Arrivals See Time Averages”) property states that, under very general conditions, the fraction of Poisson arrivals that observe an un...
Muhammad Mukarram Bin Tariq, Amogh Dhamdhere, Cons...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 2 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali
BMCBI
2010
151views more  BMCBI 2010»
13 years 9 months ago
TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
CVPR
2004
IEEE
14 years 10 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
13 years 6 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...