Mixture of experts
A mixture of experts framework for text classification
... One of the particular characteristics of text classification tasks is that they present large class imbalances. Such a problem can easily be tackled using re- sampling methods. However, although these approaches are very ...
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Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution
... [8], mixture models [9], mixture of regression models [10], mixture of autoregressive series [11] and mixture of experts using the expectation conditional maximisation ...a ...
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Keeping the balance—Bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models
... For reciprocal importance sampling, considerable bias and large standard errors may occur even if the estimator is based on the perfectly balanced importance den- sity q K F (ϑ ), as reciprocal importance sampling ...
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Investigation the Effect of Particle Swarm Optimization in Performance of Mixture of Experts
... of experts (ME) is one of the most popular and interesting combining methods, which has great potential to improve performance in machine ...network experts, supervised by a gating ...individual ...
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Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression
... An alternative to sparse approximations is to distribute the computations by using local models. These local models typically require stationary kernels for a notion of “dis- tance” and “locality”. Shen et al. [19] used ...
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Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
... mapping experts from the latent representations to the vocabulary, with a topic-aware gating mechanism im- plicitly transferring the utilization, which is orthogonal to these methods for novel object captioning in ...
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LSTM Based Mixture of Experts for Knowledge Aware Dialogues
... We now show how we integrate the chat model with the QA model using the LSTM-based mixture-of-experts method. The intuition is the following: the chat model is in charge of gener- ating smooth responses ...
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Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership
... standard mixture framework. In the most basic Bayesian mixture models, prior class membership is modeled using the component weights, that is the relative size of the mixture ...model mixture ...
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Self-Supervised Mixture-of-Experts by Uncertainty Estimation
... Supervised Mixture-of-Experts (SUM), an effective algo- rithm driven by predictive uncertainty estimation for multi- task ...as experts to learn a series of related tasks simul- taneously by Deep ...
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Improving Spark Application Throughput Via Memory Aware Task Co location:A Mixture of Experts Approach
... In this paper, we present a generic framework to model the memory behavior of Spark applications. As a departure from prior work that uses a fixed utility function to model the resource requirement, we use multiple ...
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Mixture of Experts for Persian handwritten word recognition
... on Mixture of Experts ...the experts, and the outputs of experts are combined by a gating ...used Mixture of Experts Multi Layered Perceptrons with Momentum term in the ...
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Pattern Recognition using Mixture of Experts - A Review
... The present and possible future roles of Mixture of Experts and Hierarchical Mixture of Experts models, especially for pattern recognition is discussed and reviewed. Both supervised and ...
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Multi Source Domain Adaptation with Mixture of Experts
... Therefore, we propose to explicitly model the relationship between different source domains and target examples. We hypothesize that different source domains are aligned to different sub-spaces of the target domain. ...
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Efficient deep neural network inference for embedded systems:A mixture of experts approach
... [RQ 3] Can orthogonal DNN optimisation techniques such as model compression be used in conjunction with a statistical machine learning model to further reduce inference time without a co[r] ...
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A multimodal mixture of experts model for dynamic emotion prediction in movies
... A system capable of determining the emotion evoked by a video continuously over time can be very useful in all the above tasks. So in this work, we try to determine emotion evoked by a video by predicting continuous ...
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Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts
... Figure 1: Left: Our approach applied to backchannel prediction: (1) multiple listeners experience the same series of stimuli (pre-recorded speakers) and (2) a Wisdom-LMDE model is learned using this wisdom of crowds, ...
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Assessing Creative Products by Experts
... six experts in the domain: Three faculty members were from the fashion department, two were from the art department, and one had a background in ...six experts worked independently of one another and had no ...
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The Role of (Scientific) Experts in a Democracy
... In every poll asking the public to rank professions by prestige, scientists excel. They command great respect and earn high marks for trustworthiness. They consistently compare well to judges and rank much higher than ...
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Mizrahi and Seidel: Experts in Confusion.
... of experts with chance should be treated ...the experts were only slightly more accurate than chance” (Mizrahi 2013: 64) but another review of his work notes that “experts barely if at all ...
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Introduction: Environmental Experts in Context
... The historian William Cronon (1995) has shown for instance how ‘wilderness’, as an unspoiled and eternal object out there, is a relatively recent Romantic invention – born out of a particular set of cultural ...
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