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Inferential theory of learning

Known as: ITL, Inferential 
Inferential theory of learning (ITL) is an area of machine learning which describes inferential processes performed by learning agents. ITL has been… 
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Related topics

Related topics

2 relations

Broader (1)

Cybernetics
Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Mining Periodic-Frequent Itemsets with Approximate Periodicity Using Interval Transaction-Ids List Tree
Temporal periodicity of itemset appearance can be regarded as an important criterion for measuring the interestingness of… 
Highly Cited
2006
Highly Cited
2006
Latin Word Order: Structured Meaning and Information
Word order is not a subject anyone reading Latin can afford to ignore: apart from anything else, word order is what gets one from… 
Review
2005
Review
2005
A survey on piecewise-linear models of regulatory dynamical systems
2004
2004
A resource bounded default logic
This paper presents statistical default logic, an expansion of classical (i.e., Reiter) default logic that allows us to model… 
Highly Cited
2003
Highly Cited
2003
Computational aspects of nonparametric smoothing with illustrations from the sm library
2002
2002
Locally Strong Coherence in Inference Processes
In this paper we deal with probabilistic inference in the most general form of coherent conditional probability assessments. In… 
2002
2002
Maths from Scratch for Biologists
Maths in Biology. Manipulating Numbers. Units and Conversions. Molarities and Dilutions. Areas and Volumes. Exponents and Logs… 
2002
2002
A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data
Greedy score-based algorithms for learning the structure of Bayesian networks may produce very different models depending on the… 
Review
1999
Review
1999
Coherence and Conservatism in the Dynamics of Belief
In this paper I discuss the foundations of a formal theory of coherent and conservative belief change that is (a) suitable to be… 
1995
1995
Fuzzy-neural-net-based inferential control for a high-purity distillation column
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