Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers: Lecture Notes in Computer Science, cartea 9046
Editat de Jesse Davis, Jan Ramonen Limba Engleză Paperback – 27 dec 2015
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 with logic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.
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Specificații
ISBN-13: 9783319237077
ISBN-10: 3319237071
Pagini: 211
Ilustrații: X, 211 p. 62 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.32 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319237071
Pagini: 211
Ilustrații: X, 211 p. 62 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.32 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
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.- On the Complexity of Frequent Subtree Mining in Very Simple Structures.
Textul de pe ultima copertă
This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, 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 with logic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.
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 with logic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.
Caracteristici
Includes supplementary material: sn.pub/extras