space model
Conceptual Advances in the Default Space Model of Consciousness
... default space model is a unified theory of consciousness that posits the brain and body together form the foundation of conscious experience that ex- ists as a three dimensional internally generated ...
16
Towards a Vector Space Model for FrameNet-like Resources
... to model frame semantic resources (namely, FrameNet) using minimal ...space model. The intuition is that semantic spaces are an effective model of the notion of “being characteristic of a ...
7
A function space model for canonical systems
... In [KW2] an indefinite analogue of the equation (1.1) which includes finitely many singularities was considered, a notion of a generalized Hamiltonian h was defined, and a corresponding Pontryagin space ...
58
A hybrid 3D indoor space model
... Network Model (GNM), Navigable Space Model, sub-division model and regular-grid model lack indoor data sources and abstraction ...indoor space model is ...building ...
6
Unsupervised Metaphor Paraphrasing using a Vector Space Model
... In this paper we presented the first fully unsupervised approach to metaphor interpretation. Our system produces literal paraphrases for metaphorical expressions in unrestricted text. Producing metaphorical ...
10
Reliability state space model of Power Transformer
... reliability model of power transformer is very important in the risk assessment of the engineering ...reliability model of the power transformer is ...State space model of model of each ...
5
The Lifted Matrix Space Model for Semantic Composition
... as model dimension or vocabulary size ...Matrix-Space model, which uses a global transformation to map vector word embeddings to matrices, which can then be composed via an operation based on ...
11
A Flexible State Space Model and its Applications
... state space model (SSM) treats observations as imprecise mea- sures of the Markov latent ...ARMA model, mixed frequency regression and the dynamic factor model with missing data, the state ...
28
A Learning State-Space Model for Image Retrieval
... state-space model for learning the user concepts in image ...state-space model for interactive image retrieval, including likelihood and transition models, and we also describe some ...
10
Lexical Transfer Using a Vector Space Model
... Building a bilingual dictionary for transfer in a machine translation system is conventionally done by hand and is very time-consuming. In order to overcome this bottleneck, we propose a new mechanism for lexical ...
7
Design and analysis of a general vector space model for data classification in Internet of Things
... However, there are still some challenges in text classifi- cation, and the accuracy of classification needs to be im- proved. In order to achieve better classification effect, in this paper, a new text classification ...
10
Providing privacy on the tuple space model
... tuple space model have a very lim- ited focus since they consider only simple attacks like invalid access or use weak cryptography mechanisms, which are not enough to ensure the security of the stored ...
16
A canonical space-time state space model: state and parameter estimation
... spatio–temporal model outlined earlier, the construction of the likelihood for the EM algorithm’s M-step presents an opportunity to include the neighborhood information into the estimation procedure, without ...
10
A Systematic Study of Semantic Vector Space Model Parameters
... parameter space is too large to analyse ex- haustively, and so we adopted a strategy for how to navigate through it, selecting certain parame- ters to investigate first, which then get fixed or “clamped” in the ...
10
A Vector Space Model for Subjectivity Classification in Urdu aided by Co Training
... Expressive elements in Urdu sentences were marked with an inter-annotator agreement of 0.8 kappa score. Though high, there still exists a bias that can influence classification especially when the number of sentences in ...
9
A Structured Vector Space Model for Word Meaning in Context
... how appropriate a paraphrase (of either the predicate or the argument) is in that context. We perform two experiments that both use the paraphrase task, but differ in their emphasis. Experiment 1 replicates an existing ...
10
The Study of Information Retrieval
... a model based on Luhn's similarity criterion that has a stronger theoretical motivation (Salton and McGill ...Euclidean space, where each term is assigned a separate dimension. The vector space ...
5
Improving the relevancy of document search using the multi term adjacency keyword order model
... vector space model. The proposed model focuses only on precision that favors to system which retrieves relevant documents quickly, that is early in the ...vector space model and ...
10
Dual Space Re ranking Model for Document Retrieval
... conceptual model has been adopted in general- purpose retrieval which can comprise a range of concepts, including linguistic terms, latent concepts and explicit knowledge ...this model is that the computa- ...
9
A Generative Model of Vector Space Semantics
... The problem becomes more complicated when we attempt represent larger linguistic structures— multiword constituents or entire sentences— within the same vector space model. The most ba- sic issue is one of ...
9