Add to ORKGSummary. The article presents problems of determination of machine state forecasting algorithms as the basis for inference rules study. Key words: machine state forecasting, algorithmization of procedures, inference rules
<p>Forecasting performance (MASE) of ML and statistical methods across various horizons having appli...
A method of combining three analytic techniques including regression rule induction, the k-nearest n...
The importance of the decision support systems is increasingly supporting the decision making proces...
Abstract. This paper presents new inference algorithms based on rules partition. Optimisation relies...
Prediction is one of the most important concepts in science. Predictions obtained from probabilistic...
The paper presents a comparative analysis of selected algorithms for prediction and data analysis. T...
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach...
In order to objectively and completely analyze the state of the monitored object with the required l...
The method of estimation and forecasting in intelligent decision support systems was developed. The ...
A methodology is developed for the synthesis of Insightful Algorithms. We define "Insightful Algorit...
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach...
In order to objectively and completely analyze the state of the monitored object with the required l...
This article introduces a novel approach for the analysis of the dynamics of reasoning processes and...
W artykule przeprowadzono analizę struktury obrabiarek w aspekcie diagnozowania ich stanu. Zapropono...
The article is about creating a space for multiple tests of demand forecasting techniques, this spac...
<p>Forecasting performance (MASE) of ML and statistical methods across various horizons having appli...
A method of combining three analytic techniques including regression rule induction, the k-nearest n...
The importance of the decision support systems is increasingly supporting the decision making proces...
Abstract. This paper presents new inference algorithms based on rules partition. Optimisation relies...
Prediction is one of the most important concepts in science. Predictions obtained from probabilistic...
The paper presents a comparative analysis of selected algorithms for prediction and data analysis. T...
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach...
In order to objectively and completely analyze the state of the monitored object with the required l...
The method of estimation and forecasting in intelligent decision support systems was developed. The ...
A methodology is developed for the synthesis of Insightful Algorithms. We define "Insightful Algorit...
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach...
In order to objectively and completely analyze the state of the monitored object with the required l...
This article introduces a novel approach for the analysis of the dynamics of reasoning processes and...
W artykule przeprowadzono analizę struktury obrabiarek w aspekcie diagnozowania ich stanu. Zapropono...
The article is about creating a space for multiple tests of demand forecasting techniques, this spac...
<p>Forecasting performance (MASE) of ML and statistical methods across various horizons having appli...
A method of combining three analytic techniques including regression rule induction, the k-nearest n...
The importance of the decision support systems is increasingly supporting the decision making proces...