It is an ensemble method, which combines several regression trees to generate an average estimate, in which different attributes are used in each tree, making the results take into account the information of all available attributes.
Hence, although the same attributes are used for each dataset, the final attributes used for modeling are different.
Relationships between different attributes were studied using linear regression.
Motion velocity and noise level in the sensor are chosen as the selector attributes, and the optimal sensor weightages under different attributes are approximated using RBF neural network with the reference data from laser interferometer.
The experiment were designed in a completely randomized design (CRD) with three replicates and data so generated for different attributes was analysed using a software named CoSTAT V 6.3 (developed by, Cohort software, Berkeley, California, USA).
Different attribute subsets were used to train and test classification models using algorithms included in Weka data mining software, such as decision trees (J48) and neural networks (multilayer perceptron).
The intensity and spectral features attributed to different cloud types of samples were used to construct an adaptive over-complete dictionary in order to represent the cloud samples sparsely, followed by extracting the dictionary feature via sparse coding of samples.
The fact that this time was shorter than in previously published studies (Table 1) can be attributed to different protocols being used in different hospital departments and perhaps also to the increased familiarization of the staff with this technique in our particular university hospital.
There was a slight difference in response of rice plants to 100 mM NaCl treatment between two subsequent experiments, which might be attributed to soil batches of different age being used (Figures 3 and 4).
Descriptive statistics were used to examine the frequency of use of the different attributes and measurement instruments.
