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  • orthogonal
  • The hyperplanes in the higher-dimensional space are defined as the set of points whose dot product with a vector in that space is constant, where such a set of vector is an orthogonal (and thus minimal) set of vectors that defines a hyperplane. (wikipedia.org)
  • aims
  • Uplift modeling is a branch of machine learning which aims to predict not the class itself, but the difference between the class variable behavior in two groups: treatment and control. (springer.com)
  • This paper aims at designing an calibration technique for temperature measurement using support vector machine. (springer.com)
  • Learning
  • Classifying data is a common task in machine learning . (wikipedia.org)
  • Machine learning is the science of getting computers to act without being explicitly programmed. (coursera.org)
  • Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. (coursera.org)
  • In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. (coursera.org)
  • Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. (coursera.org)
  • innovation process in machine learning and AI). (coursera.org)
  • It is often difficult and time-consuming to develop classifiers by hand, so many researchers have turned to techniques from the fields of statistics and machine learning to automatically generate classifiers. (osti.gov)
  • evaluation
  • In an extensive empirical evaluation OCAS significantly outperforms current state of the art SVM solvers, like SVMLight, SVMPerf and BMRM, achieving speedups of over 1,000 on some datasets over SVMLight and 20 over SVMPerf, while obtaining the same precise Support Vector solution. (videolectures.net)