نتایج جستجو برای: m5 decision tree
تعداد نتایج: 498492 فیلتر نتایج به سال:
One of the machine learning tasks is supervised learning. In supervised learning we infer a function from labeled training data. The goal of supervised learning algorithms is learning a good hypothesis that minimizes the sum of the errors. A wide range of supervised algorithms is available such as decision tress, SVM, and KNN methods. In this paper we focus on decision tree algorithms. When we ...
PURPOSE Muscarinic receptors are known to regulate several important physiologic processes in the eye. Antagonists to these receptors such as atropine and pirenzepine are effective at stopping the excessive ocular growth that results in myopia. However, their site of action is unknown. This study details ocular muscarinic subtype expression within a well documented model of eye growth and inves...
A single-site mutant (M5) of native urokinase plasminogen activator (prouPA) induces effective thrombolysis in dogs with venous or arterial thrombosis with a reduction in bleeding complications compared to tPA. This effect, related to inhibition of two-chain M5 (tcM5) by plasma C1-inhibitor (C1I), thereby preventing non-specific plasmin generation, was augmented by the addition of exogenous C1I...
Resistance of mouse M5076 (M5) ovarian reticular cell sarcoma to cyclophosphamide (CTX) was obtained in vivo by repeated drug treatment followed by transplantation of the regrowing tumor. After 16 passages, we obtained an M5 subline resistant to CTX (M5-CTX-16R). Median survival times were approximately 29 and 39 days for M5 and M5-CTX-16R, respectively. Survival of M5-bearing mice given a sing...
In this paper, we report the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). The ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making up the ensemble. In this work, the additive boosting, bagging, rotation forest, and...
Drug-related problems have become a growing concern in clinical medicine. Particularly prevalent are problems surrounding suband over-therapeutic doses of high-alert medications. In this study, we use a model-tree based regression (namely M5) and an SVM technique to build systems that predict the regimen adequacy of vancomycin, a glycopeptide antimicrobial antibiotic effective for Gram-positive...
conclusions: absence of the c allele was significantly associated with failure of response. the presence of c allele was associated with a favorable outcome. afp is a strong baseline predictor of hcv treatment response. a decision tree model is useful for predicting the probability of response to therapy. patients and methods: the study included 263 chronic hcv egyptian patients receiving peg-i...
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