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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
Inference for functions of parameters in discrete distributions based on fiducial approach: Binomial and Poisson cases
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… 
2004
2004
Non-parametric estimation under progressive censoring
Highly Cited
2003
Highly Cited
2003
Computational aspects of nonparametric smoothing with illustrations from the sm library
Highly Cited
2003
Highly Cited
2003
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding… 
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… 
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… 
Review
1996
Review
1996
Advertising Research: Theory and Practice
Part I. Foundations Chapter 1. The Nature and Process of Research Chapter 2. Research Ethics Part II. Sources of Information… 
1995
1995
Fuzzy-neural-net-based inferential control for a high-purity distillation column
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