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 18934 to 18953 of 58947
  • 01050002389.pdf.jpg
  • Thesis


  • 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 (...)

  • 00051000315.pdf.jpg
  • Thesis


  • Authors: Nguyen, Hoai Thu;  Advisor: Vũ, Anh Dũng (2018)

  • This paper aims to identify the reaction of the stock price of bidder company in retail industry (focus on retail-chain stores retailers). M&A in retail sector especially the retail store has been creating lots of tagline from all the most prestigious business news not only local but also regional. Billion dollar deals, whether they would contribute to the wealth of shareholders. The empirical result in Vietnam show that there is a strong negative significant in short-term toward the wealth gain of bidding companies’ shareholders. Due to the time span of the deal evaluation, the researcher would not take into account the synergies effects of the deal, this work is focusing on short-t...

  • Bai 6. Trinh Thi Phan Lan_22112010.pdf.jpg
  • Article


  • 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.

  • 02050000786.pdf.jpg
  • Thesis


  • Authors: Nguyễn, Chí Hùng;  Advisor: Đinh, Văn Hường (2011)

  • Trình bày cơ sở lý luận của ma-két báo in và phụ trương báo in: Khái niệm và các thuật ngữ; Lược sử makét báo in thế giới và ở Việt Nam; Vai trò của ma-két đối với báo in và phụ trương. Nghiên cứu thực trạng ma-két phụ trương một số báo in ở thành phố Hồ Chí Minh: Quản lý nhà nước về báo in và phụ trương; Nội dung thông tin của phụ trương; Sử dụng các yếu tố hình thức của ma-két trong phụ trương và những yếu tố liên quan đến việc sử dụng này; Một số đặc điểm của ma-két phụ trương báo in ở thành phố Hồ Chí Minh. Đề xuất một số giải pháp nhằm nâng cao chất lượng phụ trương báo in ở thành phố Hồ Chí Minh

  • 1858.pdf.jpg
  • Book


  • 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


  • 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

  • 1861.pdf.jpg
  • Book


  • 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...

  • 1860.pdf.jpg
  • Book


  • 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...

  • 1862.pdf.jpg
  • Book


  • 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...

  • 1865.pdf.jpg
  • Book


  • Authors: - (2008)

  • This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28–30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human–computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these ?elds and the design and analysis of software s- portingmultimodalhuman–humanandhuman–computerinteractionarethetwo overarching themes of this post-workshop book. The MLMI 2007 workshop featured 18 oral pre...

  • 1864.pdf.jpg
  • Book


  • 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 ...

  • 1863.pdf.jpg
  • Book


  • Authors: - (2008)

  • Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE netw...

  • 1867.pdf.jpg
  • Book


  • Authors: - (2008)

  • Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE netw...

  • 1859.pdf.jpg
  • Book


  • Authors: Huang, Kaizhu; Yang, Haiqin; King, Irwin; Lyu, Michael (2008)

  • "Machine Learning - Modeling Data Locally and Globally" presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either 'local learning' or 'global learning'. This theory not only connects previous machine learning methods, or serves as roadmap in various models, but - more importantly - it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications. Kaizhu Huang was a ...

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 18934 to 18953 of 58947
  • 01050002389.pdf.jpg
  • Thesis


  • 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 (...)

  • 00051000315.pdf.jpg
  • Thesis


  • Authors: Nguyen, Hoai Thu;  Advisor: Vũ, Anh Dũng (2018)

  • This paper aims to identify the reaction of the stock price of bidder company in retail industry (focus on retail-chain stores retailers). M&A in retail sector especially the retail store has been creating lots of tagline from all the most prestigious business news not only local but also regional. Billion dollar deals, whether they would contribute to the wealth of shareholders. The empirical result in Vietnam show that there is a strong negative significant in short-term toward the wealth gain of bidding companies’ shareholders. Due to the time span of the deal evaluation, the researcher would not take into account the synergies effects of the deal, this work is focusing on short-t...

  • Bai 6. Trinh Thi Phan Lan_22112010.pdf.jpg
  • Article


  • 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.

  • 02050000786.pdf.jpg
  • Thesis


  • Authors: Nguyễn, Chí Hùng;  Advisor: Đinh, Văn Hường (2011)

  • Trình bày cơ sở lý luận của ma-két báo in và phụ trương báo in: Khái niệm và các thuật ngữ; Lược sử makét báo in thế giới và ở Việt Nam; Vai trò của ma-két đối với báo in và phụ trương. Nghiên cứu thực trạng ma-két phụ trương một số báo in ở thành phố Hồ Chí Minh: Quản lý nhà nước về báo in và phụ trương; Nội dung thông tin của phụ trương; Sử dụng các yếu tố hình thức của ma-két trong phụ trương và những yếu tố liên quan đến việc sử dụng này; Một số đặc điểm của ma-két phụ trương báo in ở thành phố Hồ Chí Minh. Đề xuất một số giải pháp nhằm nâng cao chất lượng phụ trương báo in ở thành phố Hồ Chí Minh

  • 1858.pdf.jpg
  • Book


  • 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


  • 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

  • 1861.pdf.jpg
  • Book


  • 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...

  • 1860.pdf.jpg
  • Book


  • 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...

  • 1862.pdf.jpg
  • Book


  • 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...

  • 1865.pdf.jpg
  • Book


  • Authors: - (2008)

  • This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28–30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human–computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these ?elds and the design and analysis of software s- portingmultimodalhuman–humanandhuman–computerinteractionarethetwo overarching themes of this post-workshop book. The MLMI 2007 workshop featured 18 oral pre...

  • 1864.pdf.jpg
  • Book


  • 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 ...

  • 1863.pdf.jpg
  • Book


  • Authors: - (2008)

  • Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE netw...

  • 1867.pdf.jpg
  • Book


  • Authors: - (2008)

  • Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE netw...

  • 1859.pdf.jpg
  • Book


  • Authors: Huang, Kaizhu; Yang, Haiqin; King, Irwin; Lyu, Michael (2008)

  • "Machine Learning - Modeling Data Locally and Globally" presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either 'local learning' or 'global learning'. This theory not only connects previous machine learning methods, or serves as roadmap in various models, but - more importantly - it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications. Kaizhu Huang was a ...