Questions tagged [inference]

Inference is the act or process of deriving logical conclusions from premises known or assumed to be true. The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic.

Inference is the act or process of deriving logical conclusions from premises known or assumed to be true. The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic.

Or inference can be defined in another way. Inference is the non-logical, but rational, means, through observation of patterns of facts, to indirectly see new meanings and contexts for understanding. Of particular use to this application of inference are anomalies and symbols. Inference, in this sense, does not draw conclusions but opens new paths for inquiry. In this definition of inference, there are two types of inference: inductive inference and deductive inference. Unlike the definition of inference in the first paragraph above, meaning of word meanings are not tested but meaningful relationships are articulated.

Human inference (i.e. how humans draw conclusions) is traditionally studied within the field of cognitive psychology; researchers develop automated inference systems to emulate human inference. Statistical inference allows for inference from quantitative data.

Source:http://en.wikipedia.org/wiki/Inference

613 questions
0
votes
0 answers

Jena rules: test a literal property to string

i am working about inferences on Jena. I would test that a property is a particular string. I have an ontology about servers, an individuals like this:
0
votes
1 answer

How to use blank node in Datalog rules for GenericRuleReasoner?

I'm using GenericRuleReasoner to infer virtual fact in my ontology. GenericRuleReasoner takes inference rules as Datalog rule in input as explain in jena inference support. here is an example of a DatalogRule attached to a generic reasoner : String…
Fopa Léon Constantin
  • 11,863
  • 8
  • 48
  • 82
0
votes
1 answer

How to make clean a Jena InfModel result?

I am working about inference in Jena. I have begin with the Jena official tutorial I am trying to display in console the InfModel result by using the following code: infModel.write(System.out, "RDF/XML-ABBREV"); But the result is not clean, it…
0
votes
2 answers

Inference rules for functional dependencies, X->A, Y->B, XY->AB

As it says in the title I have trouble understanding why if we have X->A and Y->B then why is it wrong to write XY->AB. They way I understand it, if A is functionally dependent of X and B is functionally dependent of Y, then when we have XY on the…
Dimitar Spasovski
  • 2,023
  • 9
  • 29
  • 45
0
votes
2 answers

OWL Intersection on class level

I have a class hierarchy like this: Thing - ClassA -ClassC -ClassD - ClassB -ClassC -ClassE Class C is a subclass of both, ClassA and ClassB while ClassD and ClassE are only subclasses of either ClassA or ClassB Now I would like…
casualcoder
  • 480
  • 4
  • 17
0
votes
1 answer

owl override property restriction in subclass

My task is to construct two classes in owl. The Base class describes resources that contain several properties e.g. p1, p2 and p3. The other class, the Sub, shall describe resources similar to the Base class with the restriction, that they do not…
igorbr
  • 35
  • 5
0
votes
2 answers

Retail knowledge inference

So i am doing a research on how can i infer knowledge from reports (not with a specific format), but after pre processing, i should have some kind of formatted data. A fairly basic inference would be: "Retailer has X stock." and "X is sellable." ->…
blueomega
  • 281
  • 2
  • 15
0
votes
1 answer

R : Computing maximum likelihood estimator

I want to compute maximum likelihood estimator of mean,mu, of normal distribution with variance=36. But the following procedure showing error: set.seed(36) x <- rnorm(50,mean=20,sd=6) loglikelikelihood<- function(mu,x){ L =…
user2983722
  • 215
  • 1
  • 3
  • 11
0
votes
1 answer

Inference in Dynamic Bayesian Network using Bayes Net Toolbox for Matlab

I am working on a project on Automatic chord recognition which uses a 2-TBN dynamic bayesian network in which there are 4 discrete hidden nodes and 2 continuous observable nodes. I created the model using the bayes net toolbox and there is no…
sid0710
  • 11
  • 4
0
votes
1 answer

How to maximize the log-likelihood for a Gaussian Process in Mathematica

I am currently trying to implement a Gaussian Process in Mathematica and am stuck with the maximization of the loglikelihood. I just tried to use the FindMaximum formula on my loglikelihood function but this does not seem to work on this function. …
0
votes
1 answer

nmake: adding a prefix with inference rules?

I'm using nmake inference rules successfully for file extensions -- but what about adding a file prefix? I'm doing qt stuff, so given a list of files eg MOCS=moc_file1.cpp moc_file2.cpp I want to find an an inference rule to get .h filenames to use…
rwhenderson
  • 84
  • 1
  • 6
0
votes
0 answers

How to do dynamic infer at Dataset

I'm trying to make the SPARQL endpoint system by jena. This system used Model Class and had been a dynamic inference. But It is necessary to use the Dataset Class instead of Model. And I want to use GraphID in SPARQL. I think do a dynamic inference…
user2193922
0
votes
2 answers

catch all the inferences generated by pellet reasoner

I have a problem when executing the reasoner in my application, I can't capture the inferences generated by the reasoner. It's normally performed, the printClassTree shows me that inferences were found, but the result OWLOntology doesn't have…
Grandpa
  • 63
  • 8
0
votes
1 answer

How to test for non-parametric silmultaneous inference in R

I would like to perform non-parametric testing for a dataframe. I have three groups A,B,C. I´d like to now the statistical significance between groups A/B, B/C and A/C. How can I do that non-parametrically? When applying Kruskal-Wallis-Test, I get…
Doc
  • 358
  • 1
  • 4
  • 24
0
votes
2 answers

use more than 1 input inference in Virtuoso

I have one input inference in Virtuoso Open Source, that was defined from goodrelations site -- rdfs_rule_set('http://purl.org/goodrelations/v1', 'http://purl.org/goodrelations/v1'); -- that I used in query using -- define input:inference…