Statistical relational learning - Open Access .click

Results 101 to 110 of about 274,696 (183)

Statistical relational learning : Structure learning for Markov logic networks

, 2011
A Markov Logic Network is composed of a set of weighted first-order logic formulas. In this dissertation we propose several methods to learn a MLN structure from a relational dataset. These methods are of two kinds: methods based on propositionalization and methods based on Graph of Predicates. The methods based on propositionalization are based on the
openaire +1 more source

Optimization based load forecasting and demand management in smart building microgrids with Greylag Goose and Bi level graph models. [PDF]

Sci Rep
Ahamed BS +6 more
europepmc +1 more source

Statistical Relational Learning of Natural Language

, 2014
While understanding natural language is easy for humans, it is complex forcomputers. The main reasons for this can be found in the structural nature andthe inherent ambiguity of natural language. Correctly interpreting languagetherefore requires one to take into account the necessary context.
openaire +1 more source

Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]

PLoS One
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc +1 more source

Generalized environmental fear hypothesis and the effects of schematic restructuring in autism. [PDF]

Front Psychiatry
Long A, Revanur N, Crowder K.
europepmc +1 more source

Intervals as musical fingerprints: perceptual and pedagogical insights-a scoping review. [PDF]

Front Psychol
Kendüzler M.
europepmc +1 more source

Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models. [PDF]