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RECOMB
2002
Springer
16 years 5 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...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
AINA
2009
IEEE
15 years 12 months ago
SOA Initiatives for eLearning: A Moodle Case
— Mobile learning applications introduce a new degree of ubiquitousness in the learning process. There is a new generation of ICT-powered mobile learning experiences that exist i...
María José Casany Guerrero, Marc Ali...
ICCV
2003
IEEE
15 years 10 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 6 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang