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检索条件"主题词=INDUCTIVE LOGIC PROGRAMMING"
525 条 记 录,以下是61-70 订阅
排序:
Knowledge Discovery in Variant Databases Using inductive logic programming
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BIOINFORMATICS AND BIOLOGY INSIGHTS 2013年 第7期7卷 119-131页
作者: Hoan Nguyen Tien-Dao Luu Poch, Olivier Thompson, Julie D. Inst Genet & Biol Mol & Cellulaire Lab Bioinformat & Genom Integrat Illkirch Graffenstaden France Cantho Univ Software Ctr Cantho City Vietnam
Understanding the effects of genetic variation on the phenotype of an individual is a major goal of biomedical research, especially for the development of diagnostics and effective therapeutic solutions. In this work,... 详细信息
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The generic Rough Set inductive logic programming model and motifs in strings  7th
The generic Rough Set Inductive Logic Programming model and ...
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7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing (RSFDGRC '99)
作者: Siromoney, A Inoue, K Anna Univ Sch Engn & Comp Sci Chennai 600025 India Yamaguchi Univ Dept Comp Sci & Syst Engn Ube Yamaguchi 7558611 Japan
The gRS-ILP model (generic Rough Set inductive logic programming model) provides a framework for inductive logic programming when the setting is imprecise and any induced logic program will not be able to distinguish ... 详细信息
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Predicate ranking algorithms and their application in an inductive logic programming system
Predicate ranking algorithms and their application in an ind...
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51st National Aerospace and Electronics Conference (NAECON 2000)
作者: Yeleswarapu, M Seitzer, J Univ Dayton Dayton OH 45469 USA
inductive logic programming (ILP) is a form of machine learning that induces rules from data using the language and syntax of logic programming. A rule construction algorithm forms rules that summarize data sets. Thes... 详细信息
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Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on inductive logic programming
Transformation Learning in the Context of Model-Driven Data ...
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23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
作者: Essaidi, Moez Osmani, Aomar Rouveirol, Celine Univ Paris 13 LIPN UMR CNRS 7030 F-93430 Villetaneuse France
Model transformation in the context of Model-Driven Data Warehouse is ensured by human experts. It generates an exorbitant cost and requires high proficiency. We propose in this paper a machine learning approach to re... 详细信息
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Automating Model Transformation by Example Using inductive logic programming  07
Automating Model Transformation by Example Using Inductive L...
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22nd ACM Symposium on Applied Computing
作者: Varro, Daniel Balogh, Zoltan Budapest Univ Technol & Econ Dept Measurement & Informat Syst H-1117 Budapest Hungary
Model transformation by example [18] is a novel approach in model-driven software engineering to derive model transformation rules from an initial prototypical set of interrelated source and target models, which descr... 详细信息
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Formulating Description logic Learning as an inductive logic programming Task
Formulating Description Logic Learning as an Inductive Logic...
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2010 IEEE World Congress on Computational Intelligence
作者: Konstantopoulos, Stasinos Charalambidis, Angelos NCSR Demokritos Aghia Paraskevi Inst Informat & Telecommun Athens 15310 Greece
We describe an inductive logic programming (ILP) approach to learning descriptions in Description logics (DL) under uncertainty. The approach is based on implementing many-valued DL proofs as propositionalizations of ... 详细信息
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Baseball Digest Production System using inductive logic programming
Baseball Digest Production System using Inductive Logic Prog...
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IEEE International Symposium on Multimedia
作者: Miyazaki, Masaru Shibata, Masahiro Yagi, Nobuyuki Japan Broadcasting Corp NHK Sci & Tech Res Labs Setagaya Ku Tokyo 1578510 Japan
Here, we propose a technique to acquire knowledge for baseball digest video production using an inductive inference approach. We integrated the concept of inductive logic programming (ILP) and baseball game metadata t... 详细信息
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Information Extraction from the Web: An Ontology-Based Method using inductive logic programming
Information Extraction from the Web: An Ontology-Based Metho...
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25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
作者: Lima, Rinaldo Oliveira, Hilario Freitas, Fred Espinasse, Bernard Pentagrossa, Laura Univ Fed Pernambuco Informat Ctr Recife PE Brazil Aix Marseille Univ LSIS Marseille France
Relevant information extraction from text and web pages in particular is an intensive and time-consuming task that needs important semantic resources. Thus, to be efficient, automatic information extraction systems ha... 详细信息
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On Generating Templates for Hypothesis in inductive logic programming
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10th Mexican International Conference on Artificial Intelligence (MICAI 2011)
作者: Chovanec, Andrej Bartak, Roman Charles Univ Prague Fac Math & Phys CR-11800 Prague 1 Czech Republic
inductive logic programming is a subfield of machine learning that uses first-order logic as a uniform representation for examples and hypothesis. In its core form, it deals with the problem of finding a hypothesis th... 详细信息
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Constraint Models for Reasoning on Unification in inductive logic programming
Constraint Models for Reasoning on Unification in Inductive ...
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14th International Conference on Artificial Intelligence - Methodology, Systems, Applications (AIMSA)
作者: Bartak, Roman Charles Univ Prague Fac Math & Phys Prague 11800 1 Czech Republic
inductive logic programming (ILP) deals with the problem of finding a hypothesis covering all positive examples and excluding negative examples. One of the sub-problems is specifying the structure of the hypothesis, t... 详细信息
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