The performance of these methods has been investigated in chromatographic fingerprint data of olive oil blends with other vegetable oils without needing either to identify or to quantify the chromatographic peak
This analysis has allowed us to determine the existence of a bubble pattern in Bitcoin based on the comparative analysis of a great number of financial bubbles. On the other hand, the application of different methods to the comparative analysis between selected historical financial bubbles and ...
A significant amount of recent research has been focused on defining the phenotypic heterogeneity of the recognized human prion diseases, correlate this with molecular/genetic features, and ultimately comparatively assess such classification along with the corresponding biological properties of the agent as ...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. lightgbm.readthedocs.io/en/latest/ Topics microsoft python machine-learning data-mining r pa...
Bankruptcy classification errors in the 1980s: An empirical analysis of Altman’s and Ohlson’s models. Review of Accounting Studies 1: 267–284. Article Google Scholar Berry, M.J.A., and G. Linoff. 1997. Data mining techniques for marketing, sales, and customer support. New York: ...
It builds a popular module for regression and classification problems from weak learners. By the assumption that the individual learners are likely to make different mistakes, the method using a summation of the weak learners to eliminate the overall error. Furthermore, a decision tree is added ...
Important note (2 June 2023): we do not endorse or recommend the use of any of the methods listed here. In fact, we find most if not all of them quite ridiculous, and in many cases a useless wste of space. If you send us a message asking to have your own recently-published paper...
, Big Data & Other Ramblings Menu Skip to content Home About Resources Books & Publications Events Data Science Day #8 – Model Selection May 5, 2016 In our last post, we discussed multiple ways or more accurately metrics that we have at our disposal for evaluating a classification model. ...
Classification of P. infestans ePKs The 354 P. infestans ePKs were grouped into the major families defined by Hanks and Hunter [1]. This entailed matching their catalytic domains against HMM models of each family and using BLAST to compare them against metazoan ePKs. Classifications were confirmed...
in their composition of N-glycans, and the trend toward less complex and branched structures compared to the cerebellum (Table1, Fig.2C). Tandem MS data confirming our structural assignments of the most abundant N-glycans, as well as a description of the classification of different glycan ...