نتایج جستجو برای: multi componential model

تعداد نتایج: 2455934  

1998
CHRIS J S WEBBER

A generic approach to perceptual pattern-recognition and data fusion is presented. Unsupervised neural self-organisation is used to discover and encode the component features of the training data, so that those components are subsequently detected with generalisation and discrimination. The approach is designed to be used in hierarchical networks to encode structures at many levels of abstracti...

2000
Ronan Pichon Pascale Sébillot

Several natural language applications need domain-dependent semantic lexicons. However, these lexicons are not available for every domain, and their buildings must therefore be (as much as possible) automated. In this paper, we present and experiment a corpus-based methodology to automatically build a componential representation of meaning in a lexicon (Rastier 1996), without any preliminary le...

2014
Isaac Li Yi-Hsin Chen Chunhua Cao Yan Wang

Traditionally, the principal goal of educational assessments is to evaluate students’ academic achievement or proficiency in comparison to their peers or against promulgated standards. Both classical test theory (CTT) and item response theory (IRT) modeling frameworks provide measurement in the form of a summative estimate of the outcome variable. In recent years, understanding and exploring th...

2009
Graham William Taylor

Composable, distributed-state models for high-dimensional time series Graham William Taylor Doctor of Philosophy Graduate Department of Computer Science University of Toronto, 2009 In this thesis we develop a class of nonlinear generative models for highdimensional time series. The first key property of these models is their distributed, or “componential” latent state, which is characterized by...

Journal: :CoRR 2017
Shaonan Wang Jiajun Zhang Nan Lin Chengqing Zong

Multimodal models have been proven to outperform textbased approaches on learning semantic representations. However, it still remains unclear what properties are encoded in multimodal representations, in what aspects do they outperform the single-modality representations, and what happened in the process of semantic compositionality in different input modalities. Considering that multimodal mod...

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