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Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Learning (I.2.6) > Induction (I.2.6...)
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1-10 of 20
Reviews about "Induction (I.2.6...)":
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Top-Down Induction of Model Trees with Regression and Splitting Nodes
Malerba D., Esposito F., Ceci M., Appice A. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(5): 612-625, 2004. Type: Article
Decision trees partition the input space into hyper-rectangles. Regression trees are decision trees that fit a regression model to the data in the hyper-rectangle described by the leaf of a tree. Model trees are a mix of regression tre...
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Apr 6 2005 |
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CLIP4: hybrid inductive machine learning algorithm that generates inequality rules
Cios K., Kurgan L. Information Sciences 163(1-3): 37-83, 2004. Type: Article
This paper describes a hybrid learning algorithm that generates classification rules that use inequalities of the type attribute is not equal to value. The algorithm mixes a cover learning integer programming process with genetic learn...
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Oct 6 2004 |
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Fusion of domain knowledge with data for structural learning in object oriented domains
Langseth H., Nielsen T. The Journal of Machine Learning Research 4339-368, 2004. Type: Article
Langseth and Nielsen’s paper illustrates some new results in building Bayesian networks, using structural learning in order to integrate knowledge from data, and from a given class hierarchy of the domain....
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Sep 8 2004 |
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Learning qualitative models
Bratko I., Šuc D. AI Magazine 24(4): 107-119, 2004. Type: Article
System identification is the complex and creative task of finding a model of a system that, when simulated, reproduces the same behavior as that observed in the real system....
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Apr 22 2004 |
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A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists
Sakkis G., Androutsopoulos I., Paliouras G., Karkaletsis V., Spyropoulos C., Stamatopoulos P. Information Retrieval 6(1): 49-73, 2003. Type: Article
A principled way to tackle junk email (or “spam”) filtering is by using techniques from text categorization (TC), the task of automatically building software systems (text classifiers) capable of filing documents un...
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Jul 8 2003 |
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Fuzzy partitioning methods: a coding theoretic approach
Marsala C. In Granular computing. Heidelberg, Germany: Physica-Verlag GmbH, 2001. Type: Book Chapter
Raw data should be preprocessed before submission to a learning program. Often, partitioning numerical attributes into crisp intervals is one of the preprocessing steps. This paper introduces a mathematical morphological method for fuz...
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Jun 25 2003 |
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Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
Casillas J., Cordón O., Del Jesus M., Herrera F. Information Sciences 136(1-4): 135-157, 2001. Type: Article
Feature reduction is the Achilles heel of the machine learning research community: an increase in the number of features causes an exponential increase in the fuzzy rule search space. Back-propagation methods and k-nearest neighbors a...
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Dec 24 2002 |
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Proving theorems by reuse
Walther C., Kolbe T. Artificial Intelligence 116(1-2): 17-66, 2000. Type: Article
This paper is a continuation of research involving the reuse of previously computed proofs in the area of automated reasoning. Specifically, the authors have developed a software system that performs mathematical induction proofs by re...
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Mar 1 2000 |
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Applications of inductive logic programming
Bratko I., Muggleton S. Communications of the ACM 38(11): 65-70, 1995. Type: Article
Inductive logic programming (ILP) has become a major field within computer science in recent years. ILP is the process of taking a description of a world in terms of atomic formulas representing known true or false statements, and auto...
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Dec 1 1996 |
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Interactive theory revision
de Raedt L., Academic Press Ltd., London, UK, 1992. Type: Book (9780122107306)
De Raedt’s book is important in two complementary ways. First, it is a valuable introduction to inductive logical programming (ILP). Second, the reported work on a particular ILP system, called Clint, is general enough for re...
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Jul 1 1996 |
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