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A graphical framework for representing the semantics of asymmetric models
... dence with the root to sink paths of its ET. On the other hand, all the stages and positions can be read from its topology. This gives a graphical depiction of conditional independence implicit from the model ... See full document
8
Quantile graphical models : prediction and conditional independence with applications to financial risk management
... Quantile Graphical Models (QGMs) to characterize predictive and conditional independence relationships within a set of random variables of ...This framework is intended to quantify the dependence in ... See full document
72
Collaborative Data Sharing with Mappings and Provenance
... The graphical model of provenance is convenient for several purposes in CDSS, including the system implementation that we shall describe in Chapter 3 ...powerful framework of semiring-annotated ...This ... See full document
195
Representing Verbal Semantics with Diagrams An Adaptation of the UML for Lexical Semantics
... a graphical language as rich as the ...new framework adapted from the UML to model the meaning of verbs, as developed in extenso in Schal- ley ...This framework for linguistic semantics is ... See full document
7
Learning Graphical Models With Hubs
... Figure 3: Simulation for Gaussian graphical model. Row I: Results for Set-up I. Row II: Results for Set-up II. Row III: Results for Set-up III. The results are for n = 1000 and p = 1500. In each panel, the x-axis ... See full document
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An Abstract Schema for Representing Semantic Roles and Modelling the Syntax Semantics Interface
... Researchers working in the FrameNet paradigm have proposed different approaches for abstract- ing over the properties of individual predicators and increasing the size of training data for semantic role labelling ... See full document
10
Exploration of register dependent lexical semantics using word embeddings
... distributional models trained on a full balanced and representative corpus (for example, the whole ...distributional models compute meaning by analysing word ...represent semantics of a given word as ... See full document
9
Estimation in causal graphical models
... Useful assumptions that help us to define and characterise a prior distribution associated with each network structure in the equivalence class of Bayesian networks are local and global [r] ... See full document
201
Evaluating Distributional Models of Semantics for Syntactically Invariant Inference
... tional models of semantics already have some utility in the context of more empirically complex semantic tasks than WSD-like lexical substitution tasks, in which compositional invariance is a req- uisite ... See full document
11
A framework for the regional critical zone classification: the case of the Chinese Loess Plateau
... operational framework, 24 CZ indicators were obtained from spatial datasets and used to classify the CLP (Supplemen- tary Table 1 and Figs 7–10, available as Supplementary Data at NSR ... See full document
5
A novel conceptual framework for understanding the mechanism of adherence to long term therapies
... cal models quoted above can be illustrated by showing boxes containing mental states (for instance, a belief), connected by arrows to boxes containing the behavior (for instance, quit ...These models have a ... See full document
14
A Framework for Representing Language Acquisition in a Population Setting
... the framework described here renders it suitable for reproducing the results of previous works and evaluating their assump- ...network framework, the original setup contains n = 200 individuals in ... See full document
11
Reading Models: A Review of the Current Literature
... Abstract— Reading is not only how to read a piece of literature, a book, a story …etc., but it is also how to acquire the meaning and the implications through reading. It’s the role of parents and pre-school teachers to ... See full document
6
Supplemental update
... intonation’s semantics is in ( 1 b): the utterance’s contribution is broken into two parts, the first (Q D) applying the quantificational force of the determiner to the apposition, the second ( the D E) ... See full document
61
Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points
... large graphical models with sparse parameters, and significant progress has been made recently, both in terms of the statisti- cal theory (Meinshausen and Buhlmann, 2006; Yuan and Lin, 2007; Banerjee et ... See full document
38
A new graphical method to display data sets representing biomechanical knee behaviour
... In order to detect if the proposed method is valid and more understandable for the readers than standard graphical methods, a survey among people in the bio- medical field was conducted. Face to face interviews ... See full document
8
A Framework for Telemedicine Care: A Case of Nandi County – Kenya
... Abstract:- Telemedicine is one of the technologies that use the knowledge of Information Communication Technologies (ICTs) to curb geographical barriers while increasing access to healthcare services. This study aimed ... See full document
8
Using semantics for representing experimental protocols
... unified framework with respect to the syntactic structure and the semantics for representing experimental ...for representing experimental ... See full document
15
Representing Semantics of Texts a Non Statistical Approach
... C. S. Pierce, to represent the semantics of doc- uments. There are number of systems for gen- erating conceptual graphs representation of sen- tences: Sowa and Way (Sowa and Way, 1986) use a lexicon of canonical ... See full document
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