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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

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Modified Isomap Approach to Manifold Learning in Word Spotting
Word spotting is an effective paradigm for indexing document images with minimal human effort. Here, the use of the Bag-of… 
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
A Fast Learning Algorithm for Wavelet Network and its Application in Control
A novel control approaches based on the wavelet network is proposed to control the nonlinear system. To accelerate 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… 
2005
2005
A Learning Algorithm for Level Sets Weights in Weighted Level-based Averaging Method
The method which we call the Weighted Averaging Based on Levels (WABL) can be used to calculate the average representative of a… 
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… 
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… 
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