Inference engine

Probability and Computer science - Lecture 1: Introduction to probability. This lecture provides students with content including: mathematical tools to deal with uncertain events; applications include; combinatorial analysis; counting; axioms of probability; conditional probability and inference;... Please refer to the detailed content of the lecture!

16p codabach1016 03-05-2024 2 0   Download

Part 2 book "Applied parameter estimation for chemical engineers" includes content: Gauss-Newton method for partial differential equation (PDE) models, statistical inferences, design of experiments, recursive parameter estimation, parameter estimation in nonlinear thermodynamic models - cubic equations of state, parameter estimation in nonlinear thermodynamic models - activity coefficients, parameter estimationin chemical reaction kinetic mode,... and other contents.

268p muasambanhan08 01-03-2024 4 1   Download

Part 2 book "Probability and statistics for engineering and the sciences" includes content: Inferences based on two samples; the analysis of variance; multifactor analysis of variance; simple linear regression and correlation; nonlinear and multiple regression; goodness of fit tests and categorical data analysis; distribution free procedures; quality control methods.

416p muasambanhan06 01-02-2024 5 1   Download

Part 2 book "Applied statistics and probability for engineers" includes content: Statistical inference for two samples; simple linear regression and correlation; multiple linear regression; design and analysis of single factor experiments - the analysis of variance; design of experiments with several factors; statistical quality control.

424p muasambanhan06 01-02-2024 6 0   Download

Ebook Building expert systems in prolog includes contents: Chapter 1 introduction, chapter 2 using prolog's inference engine, chapter 3 backward chaining with uncertainty, chapter 4 explanation, chapter 5 forward chaining, chapter 6 frames, chapter 7 integration, chapter 8 performance, chapter 9 user interface, chapter 10 two hybrids, chapter 11 prototyping, chapter 12 rubik's cube, chapter appendices - full source code.

308p haojiubujain08 01-11-2023 10 2   Download

This paper proposes an improvement of the knowledge base and inference engine of the PORUL.DEP medical expert system for diagnosing depressive disorders. The knowledge base of PORUL.DEP includes more than 850 positive rules.

13p viannee 02-08-2023 6 3   Download

Part 1 of ebook "Reliability and statistics in geotechnical engineering" provides readers with content including: tntroduction – uncertainty and risk in geotechnical engineering; uncertainty; probability; inference; risk, decisions and judgment;...

314p dieptieuung 19-07-2023 8 4   Download

Ebook Applied statistics and probability for engineers (Third Edition): Part 2 presents the following content: Chapter 9 tests of hypotheses for a single sample, chapter 10 statistical inference for two samples, chapter 11 simple linear regression and correlation, chapter 12 multiple linear regression, chapter 13 design and analysis of single-factor experiments: the analysis of variance, chapter 14 design of experiments with several factors, chapter 15 nonparametric statistics, chapter 16 statistical quality control.

493p haojiubujain01 06-06-2023 5 3   Download

Ebook Fundamentals of probability and statistics for engineers: Part 2 presents the following content: Chapter 8: observed data and graphical representation; chapter 9: parameter estimation; chapter 10: model verification; chapter 11: linear models and linear regression; Appendix A: tables; Appendix B: computer software; Appendix C: answers to selected problems.

147p runthenight08 16-05-2023 8 3   Download

The broad aim of this research project is to optimize planned and emergency maintenance tasks and timings for tram tracks. Consistent with that broad aim, the following specific objectives are identified: Understand the factors affecting the degradation of tram tracks; develop a degradation prediction model for tracks as a function of the influencing factors; evaluate the time and type of maintenance required for deteriorated rail tracks.

101p runthenight04 02-02-2023 3 1   Download

The primary aim of this research was to further develop the sensing and estimation module of the CHMS framework with an improved multimodal inference model of MWL as needed for the application in aerospace CPHS. Here the focus of this research was on the implementation of a multimodal inference model of MWL that would be developed and experimentally tested. This was done with the purpose of studying the viability of real‐time system adaptation in aerospace systems.

283p runthenight04 02-02-2023 8 2   Download

Longitudinal studies are crucial for discovering causal relationships between the microbiome and human disease. We present MITRE, the Microbiome Interpretable Temporal Rule Engine, a supervised machine learning method for microbiome time-series analysis that infers human-interpretable rules linking changes in abundance of clades of microbes over time windows to binary descriptions of host status, such as the presence/absence of disease.

15p vielonmusk 30-01-2022 13 0   Download

Predicting dynamics of host-microbial ecosystems is crucial for the rational design of bacteriotherapies. We present MDSINE, a suite of algorithms for inferring dynamical systems models from microbiome time-series data and predicting temporal behaviors. Using simulated data, we demonstrate that MDSINE significantly outperforms the existing inference method.

17p viaristotle 29-01-2022 11 0   Download

In this paper we introduce the Language Engine which addresses rendering of Unicode characters on a ASCII supportable editor. Unicode characters are related to Indian regional languages based on their character sets. With the application of Parse Engine, Language Engine and Rules Engine to identify the language and convert from Unicode to ASCII in the target editor to resolve rendering problem, also improvises file size reduction.

6p phanngocminhtam 14-09-2021 15 2   Download

Genes are regulated by various types of regulators and most of them are still unknown or unobserved. Current gene regulatory networks (GRNs) reverse engineering methods often neglect the unknown regulators and infer regulatory relationships in a local and sub-optimal manner.

14p vijeeni2711 30-06-2021 14 1   Download

Lecture Formal methods in software engineering: Propositional logic. After studying this chapter you will be able to understand: Propositional logic, atomic propositions, connectives, truth tables, precedence, inference rules, arguments, presentation, transitivity,...

68p larachdumlanat126 31-12-2020 30 0   Download

We have already defined the language and propositional formulas. To complete the formal system of propositional logic we need a set of axioms and inference rules. Why would we need a formal system? We are already able to construct well- formed formulas and decide on their truthfulness by means of a truth table. How- ever, imagine we had a set of formulas M and we know that they are true – they represent our knowledge about a certain problem.

27p larachdumlanat126 31-12-2020 23 3   Download

In this chapter, the following content will be discussed: Problem with truth table, proof using equivalences, rules for inference & logical deduction, logical problem for the day, associativity of equivalence, even and odd numbers, properties of equivalence,...

39p larachdumlanat126 31-12-2020 6 1   Download

In any gene regulatory network (GRN), the complex interactions occurring amongst transcription factors and target genes can be either instantaneous or time-delayed. However, many existing modeling approaches currently applied for inferring GRNs are unable to represent both these interactions simultaneously.

22p viwyoming2711 16-12-2020 14 1   Download

Inferring gene networks from high-throughput data constitutes an important step in the discovery of relevant regulatory relationships in organism cells. Despite the large number of available Gene Regulatory Network inference methods, the problem remains challenging: The underdetermination in the space of possible solutions requires additional constraints that incorporate a priori information on gene interactions.

12p vioklahoma2711 19-11-2020 9 1   Download