Learning to Classify Text Using Support Vector Machines: by Thorsten Joachims

By Thorsten Joachims

Based on principles from help Vector Machines (SVMs), Learning to categorise textual content utilizing aid Vector Machines provides a brand new method of producing textual content classifiers from examples. The technique combines excessive functionality and potency with theoretical realizing and superior robustness. specifically, it truly is powerful with no grasping heuristic elements. The SVM technique is computationally effective in education and category, and it comes with a studying idea which could consultant real-world applications.


Learning to categorise textual content utilizing help Vector Machines supplies an entire and exact description of the SVM method of studying textual content classifiers, together with education algorithms, transductive textual content type, effective functionality estimation, and a statistical studying version of textual content class. additionally, it contains an outline of the sphere of textual content category, making it self-contained even for rookies to the sector. This booklet provides a concise creation to SVMs for development acceptance, and it contains a specific description of the way to formulate text-classification projects for computing device learning.

Show description

Read or Download Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science) PDF

Best computer information theory books

Security and Privacy in User Modeling (Human–Computer Interaction Series)

User-adaptive (or "personalized") structures take person personality­ istics in their present clients under consideration and adapt their habit ac­ cordingly. numerous empirical reports reveal their advantages in parts like schooling and coaching, on-line support for complicated software program, dynamic details supply, provision of machine entry to individuals with dis­ skills, and to a point details retrieval.

A Computable Universe:Understanding and Exploring Nature as Computation

This quantity, with a foreword by means of Sir Roger Penrose, discusses the rules of computation when it comes to nature. It specializes in major questions: what's computation? How does nature compute? The members are world-renowned specialists who've contributed to shaping a state of the art computational figuring out of the universe.

Biometrics in the New World: The Cloud, Mobile Technology and Pervasive Identity

This ebook takes a clean examine biometrics and id administration, extending the discussion past technical issues, and exploring a number of the broader societal and philosophical points surrounding using biometric functions. positive aspects: offers a quick heritage of the advance of biometrics, and describes the various popularly held misconceptions surrounding the know-how; investigates the demanding situations and chances of biometrics throughout 3rd get together infrastructures and on cellular computing units; offers information on biometric structures layout; explores the mechanisms essential to allow identification intelligence, together with logging mechanisms, information communications and information codecs; discusses such utilization concerns as collaboration frameworks, and messaging and information translation; examines the influence of biometric applied sciences on society, protecting problems with privateness and person elements; reports the present state of affairs in identification administration, and predicts the place those developments could take us sooner or later.

Physical-Layer Security for Cooperative Relay Networks (Wireless Networks)

This publication provides physical-layer safety as a promising paradigm for attaining the information-theoretic secrecy required for instant networks. It explains how instant networks are super prone to eavesdropping assaults and discusses various protection thoughts together with information-theoretic defense, synthetic noise aided safeguard, security-oriented beamforming, and variety assisted safeguard ways.

Additional info for Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science)

Sample text

Download PDF sample

Rated 4.28 of 5 – based on 18 votes