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ICPR
2008
IEEE
16 years 1 months ago
Determination of optimal metabolic pathways through a new learning algorithm
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Muk...
COLT
2004
Springer
16 years 10 days ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
EDM
2010
150views Data Mining» more  EDM 2010»
15 years 8 months ago
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for
Epistemic games are designed to help players develop domain-specific expertise that characterizes how professionals in a particular domain reason, communicate, and act [1, 11]. To ...
Andre A. Rupp, Shauna J. Sweet, Younyoung Choi
TAMODIA
2008
15 years 8 months ago
Learning Key Contexts of Use in the Wild for Driving Plastic User Interfaces Engineering
This paper addresses software plasticity, i.e. the ability of interactive systems to adapt to context of use while preserving user-centered properties. In plasticity, a classical a...
Vincent Ganneau, Gaëlle Calvary, Rachel Demum...
EMNLP
2004
15 years 8 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne