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» Learning Functions from Imperfect Positive Data
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BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
WSCG
2004
164views more  WSCG 2004»
13 years 8 months ago
Constrained Visualization of 2D Positive Data using Modified Quadratic Shepard Method
This paper is about the visualization of positive data subject to positivity constraint. It presents an algorithm that produces a non-negative graph through scattered positive dat...
Muhammed Rafiq Asim, Ghulam Mustafa, Ken Brodlie
EDM
2010
152views Data Mining» more  EDM 2010»
13 years 9 months ago
Mining Students' Interaction Data from a System that Support Learning by Reflection
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
Rajibussalim
JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
ECAI
2008
Springer
13 years 9 months ago
Learning Functional Object-Categories from a Relational Spatio-Temporal Representation
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...