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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 algorithm
Computational epistemology
Computer memory
Computer program
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Broader (1)
Computational learning theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
K-Means Clustering based Reinforcement Learning Algorithm for Automatic Control in Robots
X. Guo
,
Y. Zhai
2016
Corpus ID: 34198833
Reinforcement learning is key research in automatic control, and hierarchical reinforcement learning is a good solution to the…
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2012
2012
Learning Algorithm of Kohonen Network With Selection Phase
M. Ettaouil
,
Essafi Abdelatifi
,
F. Belhabib
2012
Corpus ID: 45387420
The learning algorithm of kohonen network realized away from any notion of class. So, the labelling phase is necessary to find…
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2011
2011
Chaotic Time Series Prediction Based on ELM Learning Algorithm
Li Bin
2011
Corpus ID: 63476243
The chaotic time series prediction is an important research orientation in signal processing and automatic control areas.The…
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2011
2011
A co-training framework for visual tracking with multiple instance learning
Huchuan Lu
,
Qiuhong Zhou
,
Dong Wang
,
Xiang Ruan
Face and Gesture
2011
Corpus ID: 11823104
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training…
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2007
2007
Synergizing Pedagogy, Learning Theory and Technology in Instruction: How Can It be Done?
B. Muniandy
,
Rossafri Mohammad
,
S. F. Fong
2007
Corpus ID: 56567866
Instructional reform movements in the 1990s called for an effective and concurrent integration of various educational components…
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2005
2005
A Fast Incremental Learning Algorithm for Support Vector Machine
Zhang Bing
2005
Corpus ID: 63717410
A kind of algorithm for support vector machine (SVM) is proposed,which can train SVM fast and incrementally.The new algorithm…
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2004
2004
An Inductive Learning Algorithm for Production Rule Discovery
M. Tolun
,
Saleh M. Abu-Soud
2004
Corpus ID: 14523903
Data mining is the search for relationships and global patterns that exist in large databases. One of the main problems for data…
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2003
2003
Dynamic channel assignment in cellular networks: a reinforcement learning solution
Sidi-Mohammed Senouci
,
Guy Pujolle
10th International Conference on…
2003
Corpus ID: 53935885
The optimization of channel assignment in cellular networks is a very complex optimization problem and it becomes more difficult…
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1990
1990
Convergence properties and stationary points of a perceptron learning algorithm
J. Shynk
,
Subhasish Subhasish
Proceedings of the IEEE
1990
Corpus ID: 12949849
An analysis of the stationary (convergence) points of an adaptive algorithm that adjusts the perceptron weights is presented…
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1984
1984
Variations on the Boltzmann Machine Learning Algorithm
M. Derthick
1984
Corpus ID: 61403722
Abstract : Boltzmann Machines learn to model the structure of an environment by modifying internal weights. The algorithm used…
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