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Inductive logic programming[electron...
~
Clark Conference ((2005 :)
Inductive logic programming[electronic resource] :24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014 : revised selected papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
005.115
書名/作者:
Inductive logic programming : 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014 : revised selected papers // edited by Jesse Davis, Jan Ramon.
其他題名:
ILP 2014
其他作者:
Davis, Jesse.
團體作者:
Clark Conference
出版者:
Cham : : Springer International Publishing :, 2015.
面頁冊數:
x, 211 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Information Systems Applications (incl. Internet)
標題:
Logics and Meanings of Programs.
標題:
Computation by Abstract Devices.
標題:
Logic programming
標題:
Induction (Logic)
標題:
Machine learning
標題:
Computer Science.
標題:
Mathematical Logic and Formal Languages.
標題:
Artificial Intelligence (incl. Robotics)
標題:
Programming Techniques.
ISBN:
9783319237084
ISBN:
9783319237077
內容註:
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.
摘要、提要註:
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.
電子資源:
http://dx.doi.org/10.1007/978-3-319-23708-4
Inductive logic programming[electronic resource] :24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014 : revised selected papers /
Inductive logic programming
24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014 : revised selected papers /[electronic resource] :ILP 2014edited by Jesse Davis, Jan Ramon. - Cham :Springer International Publishing :2015. - x, 211 p. :ill., digital ;24 cm. - Lecture notes in computer science,90460302-9743 ;. - Lecture notes in computer science ;7103..
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.
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.
ISBN: 9783319237084
Standard No.: 10.1007/978-3-319-23708-4doiSubjects--Topical Terms:
463679
Information Systems Applications (incl. Internet)
LC Class. No.: QA76.63
Dewey Class. No.: 005.115
Inductive logic programming[electronic resource] :24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014 : revised selected papers /
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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.
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