In addition, several conventional general-purpose classification methods, k-Nearest Neighbors (kNN) [40], Back Propagation neural network (BP) [41], C4.5 decision tree [42], Support Vector Machine (SVM) [43], Adaptive Network based Fuzzy Inference System (ANFIS) [44], as well as ranking based approaches are included, such as Ranking SVM [25], RankBoost [26], and RankNet [27].
However, in most of the cases, these descriptors solve a particular problem and fail for general purpose image classification and/or consume high computational cost.
We speculate that the main reason behind APACHE II not being a good predictor in severe sepsis could be due to APACHE II is a general purpose severity of disease classification system while LBP serum levels might have a more specific association with severe sepsis.
WND-CHARM is a general purpose pattern analysis and classification tool for images.
Io is a general purpose Java program for classification of microarray results according to an annotation system, which will be described in detail elsewhere.
The nine major breeds are divided into four classifications: 1) general purpose breeds including Dorset, Rambouillet, and Texel; 2) terminal-sire breeds including Suffolk and Composite (1/4 Suffolk, 1/4 Hampshire, and 1/2 Columbia); 3) prolific breeds including Finnsheep and Romanov; and 4) hair-shedding breeds including Dorper and Katahdin.
The LRSMs have been proposed as a general-purpose music classification method.
In this paper, a novel, robust, general-purpose music classification method is proposed to address the aforementioned challenge.
The general-purpose taxonomic classification algorithms (Brady and Salzberg, 2011; Diaz et al., 2009; Liu et al., 2011; Monzoorul Haque et al., 2009; Patil et al., 2011; Xia et al., 2011) typically provide comprehensive phylogenetic coverage and identifications at proper taxonomic ranks for complex microbial communities, which is important for many microbial ecology studies.
The realization that general purpose features do not always represent relevant information in signals from difficult classification problems was at the origin of the development of extractor discovery system (EDS), probably the first audio feature generation system [45, 46].
General purpose and scope.
