the proceedings contain 26 papers from the inductivelogicprogramming - 14thinternationalconference, ilp2004. the topics discussed include: automated synthesis of data analysis programs: learning in logic;at the i...
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the proceedings contain 26 papers from the inductivelogicprogramming - 14thinternationalconference, ilp2004. the topics discussed include: automated synthesis of data analysis programs: learning in logic;at the interface of inductivelogicprogramming and statistics;from promising to profitable applications of ilp: a case study in drug discovery;systems biology: a new challenge for ilp;macro-operators revisited in inductivelogicprogramming;bottom-up ilp using large refinement steps;on the effect of caching in recursive theory learning;learning an approximation to inductivelogicprogramming clause evaluation;on avoiding redundancy in inductivelogicprogramming;and learning logic programs with annotated disjunctions.
the proceedings contain 26 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Automated synthesis of data analysis programs;at the interface of inductivelogic programm...
ISBN:
(纸本)9783540229414
the proceedings contain 26 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Automated synthesis of data analysis programs;at the interface of inductivelogicprogramming and statistics;from promising to profitable applications of ilp;experiences with extracting relations from biomedical text;macro operators revisited in inductivelogicprogramming;bottom-up ilp using large refinement steps;on the effect of caching in recursive theory learning;efficiently scaling foil for multi-relational data mining of large datasets;learning an approximation to inductivelogicprogramming clause evaluation;learning ensembles of first-order clauses for recall precision curves;automatic induction of first-order logic descriptors type domains from observations;on avoiding redundancy in inductivelogicprogramming;learning goal hierarchies from structured observations and expert annotations;an efficient algorithm for reducing clauses based on constraint satisfaction techniques;improving rule evaluation using multitask learning;learning logic programs with annotated disjunctions;a simulated annealing framework for ilp;modelling inhibition in metabolic pathways through abduction and induction;first order random forests with complex aggregates;a Monte Carlo study of randomised restarted search in ilp and learning, logic, and probability.
this book constitutes the thoroughly refereed post-conference proceedings of the 24thinternationalconference on inductivelogicprogramming, ilp 2014, held in Nancy, France, in September 2014. the 14 revised papers ...
ISBN:
(纸本)9783319237077
this book constitutes the thoroughly refereed post-conference proceedings of the 24thinternationalconference on inductivelogicprogramming, ilp 2014, held in Nancy, France, in September 2014. the 14 revised papers presented were carefully reviewed and selected from 41 submissions. the papers focus on topics such as the inducing of logic programs, learning from data represented withlogic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.
the proceedings contain 14 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Relational kernel-based grasping with numerical features;complex aggregates within random ...
ISBN:
(纸本)9783319405650
the proceedings contain 14 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Relational kernel-based grasping with numerical features;complex aggregates within random forests;distributed parameter learning for probabilistic ontologies;meta-interpretive learning of data transformation programs;statistical relational learning with soft quantifiers;ontology learning from interpretations in lightweight description logics;constructing markov logic networks from first-order default rules;a note on mining all graphs;processing markov logic networks with GPUs;using ilp to identify pathway activation patterns in systems biology;an algebraic prolog for kernel programming;an exercise in declarative modeling for relational query mining;learning inference by induction and identification of transition models of biological systems in the presence of transition noise.
the proceedings contain 14 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Reframing on relational data;inductive learning using constraint-driven bias;nonmonotonic ...
ISBN:
(纸本)9783319237077
the proceedings contain 14 papers. the special focus in this conference is on inductivelogicprogramming. the topics include: Reframing on relational data;inductive learning using constraint-driven bias;nonmonotonic learning in large biological networks;construction of complex aggregates with random restart hill-climbing;logical minimisation of meta-rules within meta-interpretive learning;goal and plan recognition via parse trees using prefix and infix probability computation;effectively creating weakly labeled training examples via approximate domain knowledge;learning prime implicant conditions from interpretation transition;statistical relational learning for handwriting recognition;the most probable explanation for probabilistic logic programs with annotated disjunctions;towards machine learning of predictive models from ecological data;pagerank, proPPR, and stochastic logic programs;complex aggregates over clusters of elements and on the complexity of frequent subtree mining in very simple structures.
inductivelogicprogramming can be viewed as a style of statistical inference where the model that is inferred to explain the observed data happens to be a logic program. In general, logic programs have important diff...
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ISBN:
(纸本)3540229418
inductivelogicprogramming can be viewed as a style of statistical inference where the model that is inferred to explain the observed data happens to be a logic program. In general, logic programs have important differences to other models (such as linear models, tree-based models, etc) found in the statistical literature. this why we have ilpconferences!
We have been applying inductivelogicprogramming (ilp) to the task of learning how to extract relations from biomedical text (specifically, Medline abstracts). Our primary focus has been learning to recognize instanc...
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ISBN:
(纸本)3540229418
We have been applying inductivelogicprogramming (ilp) to the task of learning how to extract relations from biomedical text (specifically, Medline abstracts). Our primary focus has been learning to recognize instances of this protein is localized in this part of the cell from labeled training examples. ilp allows one to naturally make use of substantial background knowledge (e. g., biomedical ontologies such as the Gene Ontology - GO - and MEdical Subject Headings - MESH) and rich representations of the examples (e. g., parse trees). We discuss how we formulated this task for ilp and describe our methods for scaling ilp to this large task. We conclude with a discussion of some of the major challenges that ilp needs to address in order to scale to large tasks.
PharmaDM was founded end 2000 as a spin-off from three European universities (Oxford, Aberystwyth, and Leuven) that participated in two subsequent EC projects on inductivelogicprogramming (ilp I-II, 1992-1998). Amon...
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ISBN:
(纸本)3540229418
PharmaDM was founded end 2000 as a spin-off from three European universities (Oxford, Aberystwyth, and Leuven) that participated in two subsequent EC projects on inductivelogicprogramming (ilp I-II, 1992-1998). Amongst the projects highlights was a series of publications that demonstrated the added-value of ilp in applications related to the drug discovery process. the mission of PharmaDM is to build on those promising results, including software modules developed at the founding universities (i.e., Aleph, Tilde, Warmr, ilprolog), and develop a profitable ilp based data mining product customised to the needs of drug discovery researchers. Technology development at PharmaDM is mostly based on demand pull, i.e., driven by user requirements. In this presentation I will look at the way ilp technology at PharmaDM has evolved over the past four years and the user feedback that has stimulated this evolution.
Program synthesis is the systematic, usually automatic construction of correct and efficient executable code from declarative statements. Program synthesis is routinely used in industry to generate GUIs and for databa...
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ISBN:
(纸本)3540229418
Program synthesis is the systematic, usually automatic construction of correct and efficient executable code from declarative statements. Program synthesis is routinely used in industry to generate GUIs and for database support.
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