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One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
Complexity over Uncertainty in Generalized Representational Information Theory (GRIT):A Structure-Sensitive General Theory of Information
information theory representational information categorization concepts invariance complexity information measure subjective information
2015/7/10
What is information? Although researchers have used the construct of information liberally to refer to pertinent forms of domain-specific knowledge, relatively few have attempted to generalize and sta...
UNCERTAINTY MANAGEMENT USING BAYESIAN NETWORKS IN STUDENT KNOWLEDGE DIAGNOSIS
numerical uncertainty management intelligent computer based learning system Bayesian network
2010/1/12
In intelligent tutoring systems, student or user modeling implies dealing with imperfect and uncertain knowledge. One of the artificial intelligence techniques used for uncertainty management is that ...