Mixture of experts: a literature survey
S Masoudnia, R Ebrahimpour - Artificial Intelligence Review, 2014 - Springer
Mixture of experts (ME) is one of the most popular and interesting combining methods, which
has great potential to improve performance in machine learning. ME is established based on …
has great potential to improve performance in machine learning. ME is established based on …
Macular OCT classification using a multi-scale convolutional neural network ensemble
Computer-aided diagnosis (CAD) of retinal pathologies is a current active area in medical
image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) …
image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) …
Twenty years of mixture of experts
In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss
the fundamental models for regression and classification and also their training with the …
the fundamental models for regression and classification and also their training with the …
A mixture-of-experts prediction framework for evolutionary dynamic multiobjective optimization
Dynamic multiobjective optimization requires the robust tracking of varying Pareto-optimal
solutions (POS) in a changing environment. When a change is detected in the environment …
solutions (POS) in a changing environment. When a change is detected in the environment …
Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data
YS Lee, SB Cho - Neurocomputing, 2014 - Elsevier
As the number of smartphone users has grown recently, many context-aware services have
been studied and launched. Activity recognition becomes one of the important issues for …
been studied and launched. Activity recognition becomes one of the important issues for …
Audiovisual emotion recognition using ANOVA feature selection method and multi-classifier neural networks
To make human–computer interaction more naturally and friendly, computers must enjoy the
ability to understand human's affective states the same way as human does. There are many …
ability to understand human's affective states the same way as human does. There are many …
Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange
R Ebrahimpour, H Nikoo, S Masoudnia… - International Journal of …, 2011 - Elsevier
A new method for forecasting the trend of time series, based on mixture of MLP experts, is
presented. In this paper, three neural network combining methods and an Adaptive Network …
presented. In this paper, three neural network combining methods and an Adaptive Network …
Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence
M Tabassian, R Ghaderi, R Ebrahimpour - Expert Systems with Applications, 2011 - Elsevier
A new approach for classification of circular knitting fabric defects is proposed which is
based on accepting uncertainty in labels of the learning data. In the basic classification …
based on accepting uncertainty in labels of the learning data. In the basic classification …
Preserving text space integrity for robust compositional zero-shot learning via mixture of pretrained experts
In the current landscape of Compositional Zero-Shot Learning (CZSL) methods that
leverage CLIP, the predominant approach is based on prompt learning paradigms. These …
leverage CLIP, the predominant approach is based on prompt learning paradigms. These …
Mixture of neural fields for heterogeneous reconstruction in cryo-EM
Cryo-electron microscopy (cryo-EM) is an experimental technique for protein structure
determination that images an ensemble of macromolecules in near-physiological contexts …
determination that images an ensemble of macromolecules in near-physiological contexts …