Search Results - "Inductive Logic Programming"

FFNSL: Feed-Forward Neural-Symbolic Learner by Cunnington, Daniel, Law, Mark, Lobo, Jorge, Russo, Alessandra

“… to learn interpretable knowledge from sequences of images. We evaluate the robustness of our framework by using images subject to distributional shifts…”
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ILP turns 20: Biography and future challenges by Muggleton, Stephen, De Raedt, Luc, Poole, David, Bratko, Ivan, Flach, Peter, Inoue, Katsumi, Srinivasan, Ashwin

“…Inductive Logic Programming (ILP) is an area of Machine Learning which has now reached its twentieth year…”
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Conceptual model visual simulation and the inductive learning of missing domain constraints by Fumagalli, Mattia, Sales, Tiago Prince, Baião, Fernanda Araujo, Guizzardi, Giancarlo

“…s. However, as empirical results show, conceptual modelers are subject to cognitive limitations and biases and, hence, in practice, they systematically produce models that fall short in that respect…”
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MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank by Mao, Yuqing, Lu, Zhiyong

“…Background MeSH indexing is the task of assigning relevant MeSH terms based on a manual reading of scholarly publications by human indexers. The task is highly…”
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Applying inductive logic programming to automate the function of an intelligent natural language interfaces for databases by Bais, Hanane, Machkour, Mustapha

“…), there is currently a growing emphasis on utilizing inductive logic programming (ILP) to develop natural language processing (NLP) applications…”
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Relational machine learning for electronic health record-driven phenotyping by Peissig, Peggy L., Santos Costa, Vitor, Caldwell, Michael D., Rottscheit, Carla, Berg, Richard L., Mendonca, Eneida A., Page, David

“…•Training subject selection for machine learning was automated using ICD-9 codes.•ILP out-performed propositional machine learning approaches in AUROC…”
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Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring by Matsuda, Noboru, Cohen, William W., Koedinger, Kenneth R.

“…SimStudent is a machine-learning agent initially developed to help novice authors to create cognitive tutors without heavy programming. Integrated into an…”
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Extracting time-oriented relationships of nutrients to losing body fat mass using inductive logic programming by Ushikubo, Sho, Kanamori, Katsutoshi, Ohwada, Hayato

“… We used Inductive Logic Programming (ILP) to apply this data because ILP can more flexibly learn rules than other machine-learning methods…”
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Application of Inductive Logic Programming to Produce Emergent Behavior in an Artificial Society by Komura, Keigo, Mutoh, Atsuko, Inuzuka, Nobuhiro

“… Understanding of emergence phenomena is a challenging subject. In this paper we use the framework of inductive logic programming (ILP…”
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Automatic inference of indexing rules for MEDLINE by Névéol, Aurélie, Shooshan, Sonya E, Claveau, Vincent

“…: In this paper, we describe the use and the customization of Inductive Logic Programming (ILP) to infer indexing rules that may be used to produce automatic indexing recommendations for MEDLINE indexers. Results…”
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A comparative study on ILP-based concept discovery systems by Kavurucu, Y., Senkul, P., Toroslu, I.H.

“… Inductive Logic Programming (ILP) studies learning from examples, within the framework provided by clausal logic…”
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ILP turns 20 by Muggleton, Stephen, De Raedt, Luc, Poole, David, Bratko, Ivan, Flach, Peter, Inoue, Katsumi, Srinivasan, Ashwin

“…Issue Title: Special Issue on Inductive Logic Programming (ILP 2010); Guest Editors: Paolo Frasconi and Francesca…”
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A note on phase transitions and computational pitfalls of learning from sequences by Cornuéjols, Antoine, Sebag, Michèle

“… This paper presents a new type of analysis for inductive learning. A few years ago, the discovery of a phase transition phenomenon in inductive logic programming proved…”
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Learning revised models for planning in adaptive systems by Sykes, Daniel, Corapi, Domenico, Magee, Jeff, Kramer, Jeff, Russo, Alessandra, Inoue, Katsumi

“… These models can be incomplete or inaccurate. In addition, since adaptive systems generally operate in environments which are subject to change, these models are often also out of date…”
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Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer by Woods, Ryan W., Oliphant, Louis, Shinki, Kazuhiko, Page, David, Shavlik, Jude, Burnside, Elizabeth

“…The purpose of our study is to identify and quantify the association between high breast mass density and breast malignancy using inductive logic programming (ILP…”
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Qualitative System Identification from Imperfect Data by Coghill, G. M., Srinivasan, A., King, R. D.

“…Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models…”
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BUILDING A NETWORK TO SUPPORT LOGIC PROGRAMMING LEARNING IN THE SECONDARY SCHOOL by Tabakova-Komsalova, Veneta, Srebreva, Tanya, Maglizhanova, Magdalena, Srebrev, Srebrin

“…In education, artificial intelligence provides different opportunities. One approach to developing artificial intelligence software is through logical and knowledge-based approaches, including knowledge representation, inductive (logic…”
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Algorithms and architectures of artificial intelligence by Tyugu, Enn

“…This book gives an overview of methods developed in artificial intelligence for search, learning, problem solving and decision-making. It gives an overview of…”
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Improving the Efficiency of Graph-Based Concept Discovery Systems by Abay, Nazmiye Ceren

“…]. Concept discovery problems are investigated under Inductive Logic Programming (ILP)-based approaches and graph-based approaches [28…”
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Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies by Sharifi, Iman, Fallah, Saber

“… In this paper, we address these limitations by introducing Symbolic Imitation Learning (SIL), a groundbreaking method that employs Inductive Logic Programming (ILP…”
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