搜索结果: 1-15 共查到“文学 The bayesian”相关记录15条 . 查询时间(0.203 秒)
Prediction,Bayesian inference and feedback in speech recognition
Speech recognition Bayesian inference feedback prediction
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2016/5/3
Speech perception involves prediction, but how is that prediction implemented? In cognitive models prediction has often been taken to imply that there is feedback of activation from lexical to pre-lex...
Bayesian analysis of simulation-based models
Bayes factor Likelihood-free inference Simulation models Neurologically plausible cognitive models Probability density approximation method Leaky Competing Accumulator model Feed Forward Inhibition model
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2015/6/23
Recent advancements in Bayesian modeling have allowed for likelihood-free posterior estimation. Such estimation techniques are crucial to the understanding of simulation-based models, whose likelihood...
Connectionist models and Bayesian inference
Connectionist models Bayesian inference
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2015/6/19
Connectionist models and Bayesian inference.
Solving the Problem of Cascading Errors:Approximate Bayesian Inference for Linguistic Annotation Pipelines
Problem of Cascading Errors Approximate Bayesian Inference Linguistic Annotation Pipelines
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2015/6/12
The end-to-end performance of natural language processing systems for compound tasks, such as question answering and textual entailment, is often hampered by use of a greedy 1-best pipeline architectu...
Genetic biasing through cultural transmission: Do simple Bayesian models of language evolution generalise?
Language evolution Computer model Bayesian agents
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2015/4/7
The recent Bayesian approaches to language evolution and change seem to suggest that genetic biases can impact on the characteristics of language, but, at the same time, that its cultural transmission...
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
peech Recognition Dynamic Bayesian Networks
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2015/3/11
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks.
A Nonparametric Bayesian Approach to Acoustic Model Discovery
Nonparametric Bayesian Approach Acoustic Model Discovery
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2015/3/9
A Nonparametric Bayesian Approach to Acoustic Model Discovery.
Bayesian Distance Metric Learning on i-vector for Speaker Verification
i-vector score normalization
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2015/3/9
Bayesian Distance Metric Learning on i-vector for Speaker Verification.
Bayesian Distance Metric Learning on i-vector for Speaker Verification
i-vector score normalization distance metric learning channel compensation limited training utterances
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2014/11/27
This paper presents a new speaker verification system based on i-vector modeling as a feature extractor. In this modeling, we explore the distance constraints between i-vector pairs from the same spea...
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
Hidden Feature Models Speech Recognition Dynamic Bayesian Networks
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2014/11/27
In this paper, we investigate the use of dynamic Bayesian networks (DBNs) to explicitly represent models of hidden features,such as articulatory or other phonological features, for automatic speech re...
Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: A Bayesian Non-Parametric Approach
Languages Part-of-Speech Tagging
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2014/11/26
Adding More Languages Improves Unsupervised Multilingual
Part-of-Speech Tagging: A Bayesian Non-Parametric Approach。
Bayesian Unsupervised Topic Segmentation
Topic Segmentation The bayesian
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2014/11/26
Bayesian Unsupervised Topic Segmentation。
Adjectival vagueness in a Bayesian model of interpretation
Adjectival vagueness interpretation
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2015/6/11
We then show how to enrich the apparatus to handle pragmatic reasoning about the values
of free variables, explore its predictions about the interpretation of scalar adjectives, and show how
this mo...
Linguistic and philosophical considerations on Bayesian semantics
Linguistic philosophical considerations
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2015/6/11
Recently many theories of the semantics and pragmatics of deontic modals have relied
on analogies with decision theory. One particularly straightforward way to make this connection
is to build the s...
Community Detection on Weighted Networks: A Variational Bayesian Method（图）
Community Detection Weighted Networks
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2015/1/24
Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way for better understanding the pr...