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Algorithmic learning theory

Known as: Learning theory 
Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning… 
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Related topics

Related topics

18 relations
CN2 algorithmComputational epistemologyComputer memoryComputer program

Broader (1)

Computational learning theory

Papers overview

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2011
2011
A co-training framework for visual tracking with multiple instance learning
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training… 
2009
2009
Ex〈α〉: An effective algorithm for continuous actions Reinforcement Learning problems
In this paper the Ex(α) Reinforcement Learning algorithm is presented. This algorithm is designed to deal with problems where the… 
2007
2007
Synergizing Pedagogy, Learning Theory and Technology in Instruction: How Can It be Done?
Instructional reform movements in the 1990s called for an effective and concurrent integration of various educational components… 
2006
2006
On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis
In this paper we propose a new algorithm for identifying mixing (basis) matrix A knowing only sensor (data) matrix X for linear… 
2004
2004
An Inductive Learning Algorithm for Production Rule Discovery
Data mining is the search for relationships and global patterns that exist in large databases. One of the main problems for data… 
2003
2003
Dynamic channel assignment in cellular networks: a reinforcement learning solution
The optimization of channel assignment in cellular networks is a very complex optimization problem and it becomes more difficult… 
2003
2003
An Improved Sequential Minimal Optimization Learning Algorithm for Regression Support Vector Machine
Support vector machine (SVM) is a learning technique based on the structural risk minimization principle, and it is also a class… 
1998
1998
A new on-line learning algorithm for adaptive text filtering
1990
1990
Convergence properties and stationary points of a perceptron learning algorithm
An analysis of the stationary (convergence) points of an adaptive algorithm that adjusts the perceptron weights is presented… 
1984
1984
Variations on the Boltzmann Machine Learning Algorithm
Abstract : Boltzmann Machines learn to model the structure of an environment by modifying internal weights. The algorithm used… 
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