نتایج جستجو برای: improved decision tree
تعداد نتایج: 918656 فیلتر نتایج به سال:
in other to study the effects of salicylic acid on reproductive characters of ‘elberta’ peach (prunus persica l. batsch) tree, an experiment was carried out based on randomized complete blocks design with four replications in commercial orchard, kerman, iran. the application of three concentrations of salicylic acid 0 (control), 1and 2 mm at swollen bud stage were used. results showed that appl...
Näıve Bayes Tree uses decision tree as the general structure and deploys näıve Bayesian classifiers at leaves. The intuition is that näıve Bayesian classifiers work better than decision trees when the sample data set is small. Therefore, after several attribute splits when constructing a decision tree, it is better to use näıve Bayesian classifiers at the leaves than to continue splitting the a...
BACKGROUND In many studies, it is of interest to identify population subgroups that are relatively homogeneous with respect to an outcome. The nature of these subgroups can provide insight into effect mechanisms and suggest targets for tailored interventions. However, identifying relevant subgroups can be challenging with standard statistical methods. MAIN TEXT We review the literature on dec...
We present a decision tree-based viseme clustering technique that allows visual speech synthesis after training on a small dataset of phonetically-annotated audiovisual speech. The decision trees allow improved viseme grouping by incorporating k-means clustering into the training algorithm. The use of overlapping dynamic visemes, defined by tri-phone time-varying oral pose boundaries, allows im...
In this paper, at first we define the concepts of response function and accessible states of a complete residuated lattice-valued (for simplicity we write $mathcal{L}$-valued) tree automaton with a threshold $c.$ Then, related to these concepts, we prove some lemmas and theorems that are applied in considering some decision problems such as finiteness-value and emptiness-value of recognizable t...
A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...
One of the most common causes or credit phenomenon that is taken into account for credit risk is the customer’s noncompliance with the commitments. Thus, by predicting the behavior of loan applicants, the growth rate of debts can be decreased. Hence, this study is conducted on corporate applicants for loans in one of the public banks in Iran. In this paper, the main elements comprising the cus...
The primary goal of this study is to use efficient machine learning algorithms anticipate better house prices, typically inflated. Materials and Methods: : This will the differences between near-accurate price prediction utilizing Novel Voting Regression (Group 2) Decision Tree methods 1). sample size used carry out research was N=10 for each group studied. Clincle calculate size. pre-test anal...
The main ingredients of various odorous products are liquid volatile chemicals (LVC). In human society, identifying the type LVC is inner logic many applications, such as exposing counterfeit products, grading food quality, diagnosing interior environments, and so on. electronic nose (EN) can serve a cost-effective, time-efficient, safe solution to identification. this paper, we present design ...
The airborne Pushbroom Hyperspectral Imager (PHI) has been developed by the Shanghai Institute of Technical Physics (SITP). Here we analyse PHI data of Shanghai for the purpose of classifying eight vegetation types found in this urban environment. PHI imagery are first pre-processsed by calibrating to albedo using field spectra and the empirical line method, followed by georeferencing. A classi...
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