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CN2 Algorithm
The CN2 induction algorithm is a learning algorithm for rule induction.Clark, P. and Niblett, T (1989) The CN2 induction algorithm. Machine Learning 3(4):261-283. It is designed to work even when the training data is imperfect. It is based on ideas from the AQ algorithm AQ, Aq, aQ, or aq may refer to: Businesses and organizations * 9 Air (IATA code AQ) * AQ Interactive, Japanese video game developer * Acquity Group stock symbol (NYSE: AQ) * Alliance Quebec, a Canadian lobbyist group for English-speaking Quebece ... and the ID3 algorithm. As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ID3. Description of algorithm The algorithm must be given a set of examples, TrainingSet, which have already been classified in order to generate a list of classification rules. A set of conditions, SimpleConditionSet, which can be applied, alone or in combination, to any set of examples is predefined to be used for the classification. routin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Algorithmic Learning Theory
Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning theory and algorithmic inductive inference. Algorithmic learning theory is different from statistical learning theory in that it does not make use of statistical assumptions and analysis. Both algorithmic and statistical learning theory are concerned with machine learning and can thus be viewed as branches of computational learning theory. Distinguishing characteristics Unlike statistical learning theory and most statistical theory in general, algorithmic learning theory does not assume that data are random samples, that is, that data points are independent of each other. This makes the theory suitable for domains where observations are (relatively) noise-free but not random, such as language learning and automated scientific discovery. The fundamental concept of algorithmic learning theory is learning in the limit: as the number of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Rule Induction
Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data. Data mining in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures. In the easiest case, a rule is expressed with “if-then statements” and was created with the ID3 algorithm for decision tree learning. Rule learning algorithm are taking training data as input and creating rules by partitioning the table with cluster analysis. A possible alternative over the ID3 algorithm is genetic programming which evolves a program until it fits to the data. Creating different algorithm and testing them with input data can be realized in the WEKA software. Additional tools are machine learning libraries for Python, like scikit-learn. Paradigms Some major rule induction parad ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AQ Algorithm
AQ, Aq, aQ, or aq may refer to: Businesses and organizations * 9 Air (IATA code AQ) * AQ Interactive, Japanese video game developer * Acquity Group stock symbol (NYSE: AQ) * Alliance Quebec, a Canadian lobbyist group for English-speaking Quebecers * Aloha Airlines, a defunct airline (former IATA code AQ) * Al-Qaeda, a terrorist group * Al-Qatala, a video games Call of Duty: Modern Warfare (2019) and (2022) * Automatic Qualifying conference, an NCAA athletic conference Places * .aq, the country code Top Level Domain for Antarctica * Ak, Buin Zahra, also spelled Aq, a village in Iran * American Samoa (DAFIF 0413 / DIA 65-18 / FIPS PUB 10-4) * Antarctica (ISO 3166-1 country code) * L'Aquila, a province of Italy Science and technology * .aq, the country code Top Level Domain for Antarctica * Adaptive quantization, a quantization process that provides efficient compression * Oracle Advanced Queuing, a message provider used in the software products of the Oracle Corporation * Ad ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ID3 Algorithm
In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross QuinlanQuinlan, J. R. 1986. Induction of Decision Trees. Mach. Learn. 1, 1 (Mar. 1986), 81–106 used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains. Algorithm The ID3 algorithm begins with the original set S as the root node. On each iteration of the algorithm, it iterates through every unused attribute of the set S and calculates the entropy \Eta or the information gain IG(S) of that attribute. It then selects the attribute which has the smallest entropy (or largest information gain) value. The set S is then split or partitioned by the selected attribute to produce subsets of the data. (For example, a node can be split into child nodes based upon the subsets of the population whose ages are less than 50, between 50 and 100, and greater than 100.) The algorit ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
