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» Using Bayesian networks to analyze expression data
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134
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ISBI
2004
IEEE
16 years 4 months ago
Detection of Functional Networks In The Resting Brain
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
Yong He, Yufeng Zang, Tianzi Jiang, Yingli Lu, Xuc...
117
Voted
EDM
2009
116views Data Mining» more  EDM 2009»
15 years 1 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
135
Voted
DCOSS
2006
Springer
15 years 7 months ago
Agimone: Middleware Support for Seamless Integration of Sensor and IP Networks
The scope of wireless sensor network (WSN) applications has traditionally been restricted by physical sensor coverage and limited computational power. Meanwhile, IP networks like t...
Gregory Hackmann, Chien-Liang Fok, Gruia-Catalin R...
121
Voted
IDEAL
2000
Springer
15 years 7 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
148
Voted
NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller