Geometrical learning, descriptive geometry, and biomimetic pattern recognition

Erratum to: ‘Geometrical learning, descr

Erratum to: ‘Geometrical learning, descriptive geometry, and biomimetic pattern recognition’ by S. Wang and J. Lai [Neurocomputing 67 (2005) 9−28]

✍ Shoujue Wang; Jiangliang Lai 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 85 KB

Pattern Recognition and Machine Learning

✍ Christopher M. Bishop 📂 Library 📅 2006 🏛 Springer 🌐 English ⚖ 5 MB

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models ha

Pattern Recognition and Machine Learning

✍ Christopher M. Bishop 📂 Library 📅 2006 🏛 Springer 🌐 English ⚖ 9 MB

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models ha

Web-based application for descriptive ge

Web-based application for descriptive geometry learning

✍ L. Rubio; B. Muñoz-Abella; C. Castejón; A. Muñoz-Sánchez 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 584 KB

Pattern recognition and Valiant's learni

Pattern recognition and Valiant's learning framework

✍ Saitta, L.; Bergadano, F. 📂 Article 📅 1993 🏛 IEEE 🌐 English ⚖ 938 KB

Interaction of learning and self-learnin

Interaction of learning and self-learning in pattern recognition

✍ M. I. Shlezinger 📂 Article 📅 1972 🏛 Springer US 🌐 English ⚖ 70 KB