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» Modelling Learning Subjects as Relationships
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TSMC
2008
116views more  TSMC 2008»
13 years 7 months ago
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...
ISMB
1994
13 years 8 months ago
Kinematic Manipulation of Molecular Chains Subject to Rigid Constraint
Wepresent algorithms for kinematic manipulation of molecular chains subject to fixed bond lengths and bond angles. They are useful for calculating conformations of a molecule subj...
Dinesh Manocha, Yunshan Zhu
JETAI
1998
110views more  JETAI 1998»
13 years 7 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
ICML
2004
IEEE
14 years 8 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Mining Relationship Between Video Concepts using Probabilistic Graphical Models
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
Rong Yan, Ming-yu Chen, Alexander G. Hauptmann