Group method of data handling (GMDH) is a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features...
18 KB (2,583 words) - 03:43, 31 July 2024
Alexey Ivakhnenko (category Members of the National Academy of Sciences of Ukraine)
group method of data handling (GMDH), a method of inductive statistical learning. Aleksey was born in Kobelyaky, Poltava Governorate in a family of teachers...
20 KB (2,109 words) - 10:51, 9 August 2024
classification of different kinds of wine is performed. See the wiki page Classification of wine for more details. A group method of data handling-type neural...
13 KB (1,537 words) - 15:49, 10 September 2024
with sigmoidal activation, are used in the context of backpropagation. The Group Method of Data Handling (GMDH) features fully automatic structural and parametric...
87 KB (10,383 words) - 20:55, 9 September 2024
method for training multiple layers. In 1965, Alexey Grigorevich Ivakhnenko and Valentin Lapa published Group Method of Data Handling. It was one of the...
15 KB (1,842 words) - 04:48, 7 August 2024
Forecasting (redirect from Forecasting method)
neural networks Group method of data handling Support vector machines Often these are done today by specialized programs loosely labeled Data mining Machine...
40 KB (5,241 words) - 16:08, 20 August 2024
Feedforward neural network (redirect from Applications of multilayer perceptrons)
method for training multiple layers. In 1965, Alexey Grigorevich Ivakhnenko and Valentin Lapa published Group Method of Data Handling. It was one of the...
18 KB (1,956 words) - 06:38, 7 August 2024
Demand forecasting (section Stage 3: Data Collection)
and expectations survey jury of executive method Discrete event simulation Extrapolation Group method of data handling (GMDH) Reference class forecasting...
21 KB (2,800 words) - 10:06, 7 September 2024
proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling". Engineering Science and Technology. 23 (2):...
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Supervised learning (redirect from Applications of supervised learning)
programming Gaussian process regression Genetic programming Group method of data handling Kernel estimators Learning automata Learning classifier systems...
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Deep learning (redirect from History of deep learning)
oblivion. The first working deep learning algorithm was the Group method of data handling, a method to train arbitrarily deep neural networks, published by...
175 KB (17,305 words) - 17:03, 10 September 2024
Neural network (machine learning) (redirect from Problems in the verge of success in neural network research)
intelligence in the United States and other Western countries. Group method of data handling, a method to train arbitrarily deep neural networks was published...
151 KB (15,905 words) - 21:03, 9 September 2024
developed and explored all of the basic ingredients of the deep learning systems of today. Group method of data handling, a method to train arbitrarily deep...
85 KB (8,721 words) - 21:08, 9 September 2024
term data processing is typically used for the initial stage followed by a data analysis in the second stage of the overall data handling. Data analysis...
10 KB (1,092 words) - 22:37, 26 August 2024
reasoning Gaussian process regression Gene expression programming Group method of data handling (GMDH) Inductive logic programming Instance-based learning Lazy...
41 KB (3,580 words) - 16:15, 14 June 2024
Connectionism (redirect from History of connectionism)
Grigorevich Ivakhnenko and Valentin Lapa in 1965, called the Group Method of Data Handling. This method employs incremental layer by layer training based on regression...
40 KB (4,700 words) - 20:49, 20 August 2024
model of trade Greenwood statistic Gretl Group family Group method of data handling Group size measures Grouped data Grubbs's test for outliers Guess value...
87 KB (8,280 words) - 14:50, 5 July 2024
hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA. Tukey defined data analysis in 1961 as:...
19 KB (2,189 words) - 16:29, 26 July 2024
directly applying methods unaffected by the missing values. One systematic review addressing the prevention and handling of missing data for patient-centered...
28 KB (3,306 words) - 20:20, 25 August 2024
The scientific method is an empirical method for acquiring knowledge that has characterized the development of science since at least the 17th century...
197 KB (23,137 words) - 21:20, 2 September 2024
Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it...
16 KB (1,957 words) - 06:54, 7 August 2024
work under a wider variety of conditions than single-imputation methods like LOCF, no known method for handling missing data is valid under all conditions...
10 KB (1,131 words) - 08:43, 1 February 2024
Ivakhnenko (1913—2007), computer scientist, mathematician. See Group method of data handling. Vladimir Chelomey (1914—1984), rocket scientist. See Proton...
15 KB (1,540 words) - 11:35, 5 January 2024
control or fix up the result. Software exception handling developed in the 1960s and 1970s. Exception handling was subsequently widely adopted by many programming...
17 KB (1,806 words) - 04:12, 1 December 2023
cardholder data and reduce credit card fraud. Validation of compliance is performed annually or quarterly with a method suited to the volume of transactions:...
26 KB (2,721 words) - 19:14, 29 August 2024
Jackson structured programming (redirect from Data structured software development)
is a method for structured programming developed by British software consultant Michael A. Jackson and described in his 1975 book Principles of Program...
15 KB (2,105 words) - 15:31, 24 May 2024
Grounded theory (redirect from Constant comparative method)
ungrounded in the data. Hypotheses are supposed to emerge from the data. A goal of the researcher employing grounded theory methods is that of generating concepts...
58 KB (7,607 words) - 08:28, 10 September 2024
analytics methods that extract value from big data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available...
161 KB (16,379 words) - 00:51, 4 September 2024
HTTP (redirect from Request method)
available (without forcing clients to request periodically new data to server by using polling methods). HTTP/2 communications therefore experience much less...
61 KB (7,776 words) - 06:48, 8 September 2024
media paper copies. Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning...
39 KB (5,292 words) - 08:15, 18 June 2023