We present a system for musical genre classification based on audio features extracted from signals which correspond to distinct musical instrument sources. For the separation of...
Aristomenis S. Lampropoulos, Paraskevi S. Lampropo...
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome t...
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...