✦ LIBER ✦

A Machine Learning Approach to Automatic Music Genre Classification

✍ Scribed by Carlos N. Silla; Alessandro L. Koerich; Celso A. A. Kaestner

Publisher: SciELO
Year: 2008
Tongue: English
Weight: 262 KB
Volume: 14
Category: Article
ISSN: 0104-6500
DOI: 10.1007/bf03192561

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Classification of dog barks: a machine l

Classification of dog barks: a machine learning approach

✍ Molnár, Csaba; Kaplan, Frédéric; Roy, Pierre; Pachet, François; Pongrácz, Péter; 📂 Article 📅 2008 🏛 Springer-Verlag 🌐 English ⚖ 664 KB

A co-classification approach to learning

A co-classification approach to learning from

✍ Massih-Reza Amini; Cyril Goutte 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 565 KB

Machine learning approach to color const

Machine learning approach to color constancy

✍ Vivek Agarwal; Andrei V. Gribok; Mongi A. Abidi 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 505 KB

A machine learning approach for acquirin

A machine learning approach for acquiring descriptive classification rules of shape contours

✍ Jui-Chi Hsu; Shu-Yuen Hwang 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 577 KB

We devise a method to generate descriptive classification rules of shape contours by using inductive learning. The classification rules are represented in the form of logic programs. We first transform input objects from pixel representation into predicate representation. The transformation consists

A multistrategy approach to classificati

A multistrategy approach to classification learning in databases

✍ Chang-Hwan Lee; Dong-Guk Shin 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 478 KB

This paper proposes a hybrid classi®cation learning system for databases that integrates rule induction and lazy learning. For rule induction learning, we use an entropy function based on Hellinger divergence to measure the amount of information each inductive rule contains. For lazy learning, we al

A machine learning approach to computer-

A machine learning approach to computer-aided molecular design

✍ Giorgio Bolis; Luigi Pace; Filippo Fabrocini 📂 Article 📅 1991 🏛 Springer Netherlands 🌐 English ⚖ 715 KB

Preliminary results of a machine learning application concerning computer-aided molecular design applied to drug discovery are presented. The arUficial intelligence techniques of machine learning use a sample of active and inactive compounds, which is viewed as a set of positive and negative example