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http://localhost/handle/Hannan/1274
| عنوان: | Inductive Logic Programming |
| عنوان دیگر: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| پدیدآورنده: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| تاریخ انتشار: | 2018 |
| محل نشر: | Cham : |
| ناشر: | Springer International Publishing : Imprint: Springer, |
| فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| چکیده: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| آدرس: | http://localhost/handle/Hannan/1274 |
| شابک : | 9783319780900 ; 9783319780894 (print) ; |
| اطلاعات بیشتر: | X, 185 p. 74 illus. ; online resource. ; |
| مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
| فایل | توضیحات | اندازه | فرمت | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF |  مشاهده فایل |
| عنوان: | Inductive Logic Programming |
| عنوان دیگر: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| پدیدآورنده: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| تاریخ انتشار: | 2018 |
| محل نشر: | Cham : |
| ناشر: | Springer International Publishing : Imprint: Springer, |
| فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| چکیده: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| آدرس: | http://localhost/handle/Hannan/1274 |
| شابک : | 9783319780900 ; 9783319780894 (print) ; |
| اطلاعات بیشتر: | X, 185 p. 74 illus. ; online resource. ; |
| مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
| فایل | توضیحات | اندازه | فرمت | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF | مشاهده فایل |
| عنوان: | Inductive Logic Programming |
| عنوان دیگر: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| پدیدآورنده: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| تاریخ انتشار: | 2018 |
| محل نشر: | Cham : |
| ناشر: | Springer International Publishing : Imprint: Springer, |
| فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| چکیده: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| آدرس: | http://localhost/handle/Hannan/1274 |
| شابک : | 9783319780900 ; 9783319780894 (print) ; |
| اطلاعات بیشتر: | X, 185 p. 74 illus. ; online resource. ; |
| مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
| فایل | توضیحات | اندازه | فرمت | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF | مشاهده فایل |