Automatic Text Categorization: from Information Retrieval to Support Vector Learning

Learning to Classify Text Using Support

📁 Learning to Classify Text Using Support Vector Machines

✍ Thorsten Joachims (auth.) 📂 Library 📅 2002 🏛 Springer US 🌐 English

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved r

Learning to classify text using support

📁 Learning to classify text using support vector machines

✍ Thorsten Joachims (auth.) 📂 Library 📅 2002 🏛 Springer US 🌐 English

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved r

Multimedia Information Retrieval: Conten

📁 Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases

✍ Peter Schäuble (auth.) 📂 Library 📅 1997 🏛 Springer US 🌐 English

Multimedia Information Retrieval: Content-Based Information Retrievalfrom Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries

Learning to Rank for Information Retriev

📁 Learning to Rank for Information Retrieval

✍ Tie-Yan Liu (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people.The ranker, a central component in every

Learning to Rank for Information Retriev

📁 Learning to Rank for Information Retrieval

✍ Tie-Yan Liu 📂 Library 📅 2011 🏛 Springer Science & Business Media 🌐 English

Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engin

Learning to Rank for Information Retriev

📁 Learning to Rank for Information Retrieval

✍ Liu, Tie-Yan 📂 Library 📅 2011 🏛 Springer-Verlag Berlin Heidelberg 🌐 English