Advanced
Advanced

Browsing by Title

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 35069 to 35088 of 101683
  • 01050002389.pdf.jpg
  • Thesis

  • M U

    • Authors: Lê, Quang Thành; Diamond2013;  Advisor: Đỗ, Hoà Bình, Người hướng dẫn (2005; Fri Jul 24 11:04:31 2015)

  • 102 tr. + Đĩa mềm; Luận văn ThS. Luật biển - Quản lý biển -- Khoa luật. Đại học Quốc gia Hà Nội, 2005; Electronic Resources; Nghiên cứu cơ sở lý luận và thực tiễn quốc tế về vấn đề xác lập chủ quyền quốc gia đối với các vùng lãnh thổ. Trình bày, phân tích và đánh giá các bằng chứng lịch sử để từ đó chứng minh quá trình xác lập và thực hiện chủ quyền của Việt Nam trên hai quần đả (...)
  • Bai 6. Trinh Thi Phan Lan_22112010.pdf.jpg
  • Article

  • M&A và tác động của yếu tố văn hóa

    • Authors: Trịnh, Thị Phan Lan; Nguyễn, Thùy Linh (2010)

  • Hoạt động M&A đã bắt đầu trên thế giới từ rất lâu nhưng tỷ lệ thất bại các thương vụ M&A cũng không nhỏ. Là một thị trường mới nổi, hoạt động M&A ở Việt Nam bắt đầu từ năm 2000 và trở nên sôi động trong một vài năm trở lại đây. Tỷ lệ thất bại các thương vụ M&A ở Việt Nam cũng tương đối cao. Một trong những nguyên nhân đáng kể của sự thất bại đó là sự thiếu hòa hợp về văn hóa của hai công ty khác nhau khi thực hiện M&A.
  • item.jpg
  • Journal Article

  • Ma giữa đại dương

    • Authors: Doyle, Conan (1962)

  • “Vạn Sinh là phó giám đốc công ty Liên Sinh Thái chuyên trách việc xuất cảng cà phê tại Tích Lan. Ông dòng dõi người Hòa Lan, nhưng tâm hồn và cách xử sự hoàn toàn như người Anh Cát Lợi. Tôi là đại diện tại Luân Đôn của hang ông từ nhiều năm.”
  • LC_01296.pdf.jpg
  • Book

  • Ma sát và bôi trơn trong gia công áp lực

    • Authors: Phạm, Văn Nghệ ; Nguyễn, Như Huynh (2005)

  • Phân tích ma sát và bôi trơn với 2 nguyên công công nghệ điển hình là dập vuốt sâu không biến mỏng thành trong khuôn cứng và quá trình chồn tự do, từ đó có thể áp dụng cho các nguyên công gia công khác
  • 01050001635.pdf.jpg
  • Thesis

  • Ma trận và hệ truy hồi

    • Authors: Ngô, Thị Hường;  Advisor: Đàm, Văn Nhỉ (2020-04-09)

  • Trình bày một số kiến thức về ma trận. Phân tích ma trận truy hồi. Xây dựng bài toán mới cho dãy số. Một số phương pháp khác giải hệ truy hồi.
  • 1858.pdf.jpg
  • Book

  • MAC OS X Leopard : beyond the manual

    • Authors: Lee, Mike; Meyers, Scott (2008)

  • Good computer books make assumptions about the reader: what they do and don't know when they pick up the book, and what they want to know when they put it down. For each reader this could be very different; therefore, a book that suits one person may not be the best for another. Mac OS X Leopard: Beyond the Manual makes some assumptions too, ones that tend to differ from other Mac OS X books.
  • a31.pdf.jpg
  • Article

  • Machine Learning and Atom-Based Quadratic Indices for Proteasome Inhibition Prediction

    • Authors: Le, Thi Thu Huong (2015)

  • The atom-based quadratic indices are used in this work together with some machine learning techniques that includes: support vector machine, artificial neural network, random forest and k-nearest neighbor. This methodology is used for the development of two quantitative structure-activity relationship (QSAR) studies for the prediction of proteasome inhibition. A first set consisting of active and non-active classes was predicted with model performances above 85% and 80% in training and validation series, respectively. These results provided new approaches on proteasome inhibitor identification encouraged by virtual screenings procedures
  • 2017_Book_MachineLearningAndDataMiningIn.pdf.jpg
  • Book

  • Machine learning and data mining in pattern recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings

    • Authors: - (2017)

  • This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017. The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image ...
  • 1860.pdf.jpg
  • Book

  • Machine Learning and Knowledge Discovery in Databases

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and kno...
  • 1861.pdf.jpg
  • Book

  • Machine Learning and Knowledge Discovery in Databases

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and kno...
  • 2017_Book_MachineLearningAndKnowledgeDis.pdf.jpg
  • Book

  • Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings. Part III

    • Authors: - (2017)

  • The three volume proceedings LNAI 10534 ? 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 104 papers presented in these books was carefully reviewed and selected from 364 submissions. The papers were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and s...
  • 1862.pdf.jpg
  • Book

  • Machine Learning for Audio, Image and Video Analysis

    • Authors: Camastra, Francesco; Vinciarelli, Alessandro (2008)

  • Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. The machine learning techniques presented enable readers to address many real world problems involving complex data. Examples covering areas such as automatic speech and handwriting transcription, automatic face recognition, and semantic video segmentation are included, along with detailed i...
  • 1864.pdf.jpg
  • Book

  • Machine Learning for Multimodal Interaction

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication ...
  • Machine_Learning_in_Python.pdf.jpg
  • Book

  • Machine learning in Python : essential techniques for predictive analysis

    • Authors: Bowles, Michael (-)

  • The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.

    Readership Map

    ABSTRACTS VIEWS

    46306552

    VIEWS & DOWNLOAD

    28213247

    Content Distribution

Browsing by Title

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 35069 to 35088 of 101683
  • 01050002389.pdf.jpg
  • Thesis

  • M U

    • Authors: Lê, Quang Thành; Diamond2013;  Advisor: Đỗ, Hoà Bình, Người hướng dẫn (2005; Fri Jul 24 11:04:31 2015)

  • 102 tr. + Đĩa mềm; Luận văn ThS. Luật biển - Quản lý biển -- Khoa luật. Đại học Quốc gia Hà Nội, 2005; Electronic Resources; Nghiên cứu cơ sở lý luận và thực tiễn quốc tế về vấn đề xác lập chủ quyền quốc gia đối với các vùng lãnh thổ. Trình bày, phân tích và đánh giá các bằng chứng lịch sử để từ đó chứng minh quá trình xác lập và thực hiện chủ quyền của Việt Nam trên hai quần đả (...)
  • Bai 6. Trinh Thi Phan Lan_22112010.pdf.jpg
  • Article

  • M&A và tác động của yếu tố văn hóa

    • Authors: Trịnh, Thị Phan Lan; Nguyễn, Thùy Linh (2010)

  • Hoạt động M&A đã bắt đầu trên thế giới từ rất lâu nhưng tỷ lệ thất bại các thương vụ M&A cũng không nhỏ. Là một thị trường mới nổi, hoạt động M&A ở Việt Nam bắt đầu từ năm 2000 và trở nên sôi động trong một vài năm trở lại đây. Tỷ lệ thất bại các thương vụ M&A ở Việt Nam cũng tương đối cao. Một trong những nguyên nhân đáng kể của sự thất bại đó là sự thiếu hòa hợp về văn hóa của hai công ty khác nhau khi thực hiện M&A.
  • item.jpg
  • Journal Article

  • Ma giữa đại dương

    • Authors: Doyle, Conan (1962)

  • “Vạn Sinh là phó giám đốc công ty Liên Sinh Thái chuyên trách việc xuất cảng cà phê tại Tích Lan. Ông dòng dõi người Hòa Lan, nhưng tâm hồn và cách xử sự hoàn toàn như người Anh Cát Lợi. Tôi là đại diện tại Luân Đôn của hang ông từ nhiều năm.”
  • LC_01296.pdf.jpg
  • Book

  • Ma sát và bôi trơn trong gia công áp lực

    • Authors: Phạm, Văn Nghệ ; Nguyễn, Như Huynh (2005)

  • Phân tích ma sát và bôi trơn với 2 nguyên công công nghệ điển hình là dập vuốt sâu không biến mỏng thành trong khuôn cứng và quá trình chồn tự do, từ đó có thể áp dụng cho các nguyên công gia công khác
  • 01050001635.pdf.jpg
  • Thesis

  • Ma trận và hệ truy hồi

    • Authors: Ngô, Thị Hường;  Advisor: Đàm, Văn Nhỉ (2020-04-09)

  • Trình bày một số kiến thức về ma trận. Phân tích ma trận truy hồi. Xây dựng bài toán mới cho dãy số. Một số phương pháp khác giải hệ truy hồi.
  • 1858.pdf.jpg
  • Book

  • MAC OS X Leopard : beyond the manual

    • Authors: Lee, Mike; Meyers, Scott (2008)

  • Good computer books make assumptions about the reader: what they do and don't know when they pick up the book, and what they want to know when they put it down. For each reader this could be very different; therefore, a book that suits one person may not be the best for another. Mac OS X Leopard: Beyond the Manual makes some assumptions too, ones that tend to differ from other Mac OS X books.
  • a31.pdf.jpg
  • Article

  • Machine Learning and Atom-Based Quadratic Indices for Proteasome Inhibition Prediction

    • Authors: Le, Thi Thu Huong (2015)

  • The atom-based quadratic indices are used in this work together with some machine learning techniques that includes: support vector machine, artificial neural network, random forest and k-nearest neighbor. This methodology is used for the development of two quantitative structure-activity relationship (QSAR) studies for the prediction of proteasome inhibition. A first set consisting of active and non-active classes was predicted with model performances above 85% and 80% in training and validation series, respectively. These results provided new approaches on proteasome inhibitor identification encouraged by virtual screenings procedures
  • 2017_Book_MachineLearningAndDataMiningIn.pdf.jpg
  • Book

  • Machine learning and data mining in pattern recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings

    • Authors: - (2017)

  • This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017. The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image ...
  • 1860.pdf.jpg
  • Book

  • Machine Learning and Knowledge Discovery in Databases

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and kno...
  • 1861.pdf.jpg
  • Book

  • Machine Learning and Knowledge Discovery in Databases

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and kno...
  • 2017_Book_MachineLearningAndKnowledgeDis.pdf.jpg
  • Book

  • Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings. Part III

    • Authors: - (2017)

  • The three volume proceedings LNAI 10534 ? 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 104 papers presented in these books was carefully reviewed and selected from 364 submissions. The papers were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and s...
  • 1862.pdf.jpg
  • Book

  • Machine Learning for Audio, Image and Video Analysis

    • Authors: Camastra, Francesco; Vinciarelli, Alessandro (2008)

  • Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. The machine learning techniques presented enable readers to address many real world problems involving complex data. Examples covering areas such as automatic speech and handwriting transcription, automatic face recognition, and semantic video segmentation are included, along with detailed i...
  • 1864.pdf.jpg
  • Book

  • Machine Learning for Multimodal Interaction

    • Authors: - (2008)

  • This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication ...
  • Machine_Learning_in_Python.pdf.jpg
  • Book

  • Machine learning in Python : essential techniques for predictive analysis

    • Authors: Bowles, Michael (-)

  • The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.