680 search results - page 34 / 136 » A Comparative Study of Threshold-Based Feature Selection Tec... |
AVI
2008
13 years 10 months ago
2008
In this paper, we describe a user study aimed at evaluating the effectiveness of two different data visualization techniques developed for describing complex environmental changes...
ECIR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
GECCO
2003
Springer
14 years 29 days ago
2003
Springer
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
The following article shows how a state-of-the-art speaker diarization system can be improved by combining traditional short-term features (MFCCs) with prosodic and other longterm...
ESWA
2008
13 years 6 months ago
2008
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...