Search for "Inference" in article titles:

1. Inference: Inference is the act or process of deriving a conclusion based on what one already knows or on what one assumes. The statement(s) given as evidence for or that supposedly lead to the conclusion are known as premise(s ... [100%] 2023-02-03
2. Inference: Inferences are steps in reasoning, moving from premises to logical consequences; etymologically, the word infer means to "carry forward". Inference is theoretically traditionally divided into deduction and induction, a distinction that in Europe dates at least to Aristotle (300s BCE ... (Philosophy) [100%] 2023-12-19 [Inference] [Concepts in epistemology]...
3. Inference attack: An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database. A subject's sensitive information can be considered as leaked if an adversary can infer its real ... (Data mining technique) [70%] 2024-01-08 [Applied data mining] [Data security]...
4. Inference objection: In informal logic, an inference objection is an objection to an argument based not on any of its stated premises, but rather on the relationship between premise and contention. For a given simple argument, if the assumption is made that ... (Philosophy) [70%] 2024-01-07 [Inference]
5. Indirect Inference: Indirect inference is a simulation-based method for estimating the parameters of economic models. It is a computational method for determining acceptable macroeconomic model parameters in circumstances where the available data is too voluminous or unsuitable for formal modeling. [70%] 2023-01-20 [Estimation methods] [Macroeconomics]...
6. Inference engine: In the field of artificial intelligence, an inference engine is a component of the system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. (Philosophy) [70%] 2023-09-11 [Inference]
7. Phylogenetic Inference: Phylogenetics is the study of the evolutionary history and relationships among individuals, groups of organisms (e.g., populations, species, or higher taxa), or other biological entities with evolutionary histories (e.g., genes, biochemicals, or developmental mechanisms). Phylogenetic inference is the ... (Philosophy) [70%] 2021-12-25
8. Ontology Inference Layer: OIL (Ontology Inference Layer or Ontology Interchange Language) can be regarded as an ontology infrastructure for the Semantic Web. OIL is based on concepts developed in Description Logic (DL) and frame-based systems and is compatible with RDFS. [57%] 2023-02-14 [Knowledge representation languages]
9. Geometric and Topological Inference: Geometric and Topological Inference is a monograph in computational geometry, computational topology, geometry processing, and topological data analysis, on the problem of inferring properties of an unknown space from a finite point cloud of noisy samples from the space. It ... (Monograph) [50%] 2024-04-10 [Mathematics books] [Computational geometry]...
10. Inference to the Best Explanation: Inference to the Best Explanation (IBE) is scientific device of logical reasoning residing on the idea that entities, conditions, or processes that have the capability or so called causal powers to produce the evidence in question constitute better explanations of ... [44%] 2023-02-16 [Methodology of Science]
11. Journal of Statistical Planning and Inference: The Journal of Statistical Planning and Inference is a monthly peer-reviewed scientific journal covering research on statistical inference. The editors-in-chief are A. [40%] 2023-12-11 [Statistics journals]
12. Statistical inference: STATISTICAL INFERENCE Richard A. Johnson Professor Emeritus Department of Statistics University of Wisconsin Key words : Bayesian approach, classical approach, confidence interval, estimation, randomization, test of hypotheses. (Mathematics) [70%] 2023-10-25 [Statprob]
13. Predictive inference: Predictive inference is an approach to statistical inference that emphasizes the prediction of future observations based on past observations. Initially, predictive inference was based on observable parameters and it was the main purpose of studying probability, but it fell out ... [70%] 2023-09-20 [Statistical inference]
14. Location inference: Location inference is the method of identifying the location profiles of users on social media platforms such as Twitter and Facebook from their message content, friends' network and social interaction even when they did not explicitly disclose such on their ... (Earth) [70%] 2023-12-31 [Geolocation] [Social media]...
15. Bayesian inference: Bayesian inference is an approach to statistics whereby all forms of uncertainty are described in terms of probability. Bayesian inference applies Bayes' theorem to observations in order to infer the probability of the truth of an hypothesis. [70%] 2023-02-19 [Coronavirus] [Probability and Statistics]...
16. Strong inference: In philosophy of science, strong inference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single hypothesis to avoid confirmation bias. The term "strong inference" was coined by John R. (Philosophy of science concept emphasizing the need for alternative hypotheses) [70%] 2024-01-08 [Scientific method] [Inference]...
17. Type inference: Type inference refers to the automatic detection of the type of an expression in a formal language. These include programming languages and mathematical type systems, but also natural languages in some branches of computer science and linguistics. (Automatic detection of the type of an expression in a formal language) [70%] 2023-11-26 [Type systems] [Type theory]...
18. Approximate inference: Approximate inference methods make it possible to learn realistic models from big data by trading off computation time for accuracy, when exact learning and inference are computationally intractable. [70%] 2024-01-08 [Data management]
19. Causal inference: Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response ... (Branch of statistics concerned with inferring causal relationships between variables) [70%] 2024-01-08 [Causal inference] [Graphical models]...
20. Fiducial inference: Fiducial inference is one of a number of different types of statistical inference. These are rules, intended for general application, by which conclusions can be drawn from samples of data. (One of a number of different types of statistical inference) [70%] 2023-09-26 [Statistical inference]
21. Causal inference: Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response ... (Branch of statistics concerned with inferring causal relationships between variables) [70%] 2023-05-12 [Causal inference] [Graphical models]...
22. Adverse inference: Adverse inference is a legal inference, adverse to the concerned party, drawn from silence or absence of requested evidence. It is part of evidence codes based on common law in various countries. (Philosophy) [70%] 2023-11-22 [Legal terminology] [Inference]...
23. Immediate inference: An immediate inference is an inference which can be made from only one statement or proposition. For instance, from the statement "All toads are green", the immediate inference can be made that "no toads are not green" or "no toads ... (Logical inference from a single statement) [70%] 2023-09-20 [Immediate inference] [Syllogistic fallacies]...
24. Robust inference: ROBUST INFERENCE \it Elvezio Ronchetti Professor, Department of Econometrics University of Geneva, CH-1211 Geneva, Switzerland The primary goal of robust statistics is the development of procedures which are still reliable and reasonably efficient under small deviations from the model ... (Mathematics) [70%] 2023-10-27 [Statprob]
25. Frequentist inference: Frequentist inference is a type of statistical inference based in frequentist probability, which treats “probability” in equivalent terms to “frequency” and draws conclusions from sample-data by means of emphasizing the frequency or proportion of findings in the data. Frequentist ... (Probability Theory) [70%] 2023-02-14 [Statistical inference]
26. Deep inference: Deep inference names a general idea in structural proof theory that breaks with the classical sequent calculus by generalising the notion of structure to permit inference to occur in contexts of high structural complexity. The term deep inference is generally ... (Philosophy) [70%] 2023-11-30 [Proof theory] [Inference]...
27. Arbitrary inference: Arbitrary inference is a classic tenet of cognitive therapy created by Aaron T. Beck in 1979. (Philosophy) [70%] 2023-09-17 [Cognitive therapy] [Inference]...
28. Algorithmic inference: Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available to any data analyst. Cornerstones in this field are computational learning theory, granular computing, bioinformatics, and, long ago, structural probability (Fraser ... [70%] 2024-01-08 [Algorithmic inference] [Machine learning]...
29. Fiducial inference: Fiducial inference is one of a number of different types of statistical inference. These are rules, intended for general application, by which conclusions can be drawn from samples of data. (One of a number of different types of statistical inference) [70%] 2024-01-08 [Statistical inference]
30. Resolution inference: In propositional logic, a resolution inference is an instance of the following rule: We call: This rule can be generalized to first-order logic to: where \displaystyle{ \phi }[/math] is a most general unifier of \displaystyle{ L_1 }[/math] and \displaystyle ... [70%] 2023-11-29 [Propositional calculus] [Proof theory]...
31. Bayesian inference: Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical ... (Method of statistical inference) [70%] 2023-01-08 [Bayesian inference] [Logic and statistics]...
32. Deep inference: In mathematical logic, deep inference names a general idea in structural proof theory that breaks with the classical sequent calculus by generalising the notion of structure to permit inference to occur in contexts of high structural complexity. The term deep ... [70%] 2024-04-13 [Proof theory] [Inference]...
33. Bayesian inference: Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Fundamentally, Bayesian inference uses ... (Method of statistical inference) [70%] 2024-06-12 [Bayesian inference] [Logic and statistics]...
34. Material inference: In logic, inference is the process of deriving logical conclusions from premises known or assumed to be true. In checking a logical inference for formal and material validity, the meaning of only its logical vocabulary and of both its logical ... (Philosophy) [70%] 2024-07-25 [Non-classical logic] [Inference]...