Questions tagged [multimodality]

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57 views

Is the Latent Dirichlet Allocation topic posterior multimodal?

In fitting the Latent Dirichlet Allocation with collapsed Gibbs sampling one builds a sampled approximation to the topic posterior distribution, $P(z|w)$ and use that to calculate the topic and word ...
35 views

Multimodality of mixtures of more than two Normal distributions

Let $$\phi(x;\mu,\sigma) = \frac{1}{\sigma \sqrt{2\pi}} \exp \left(- \frac{(x-\mu)^2}{2\sigma^2}\right)$$ denote the Gaussian density function ($\sigma > 0$). Let f(x) = \sum_{i=1}^N p_i \...
42 views

Is this Bayesian model averaging?

A classical example of Bayesian model averaging (BMA) is the regression setup where the choice of different sets of covariates corresponds to different models $\mathcal{M}_k$, $k = 1, \ldots, K$, ...
23 views

Distinguish between underlying Distribution and data shape in data transforming?

My question is not well worded, which is part of the problem. I’m specifically trying to apply this to my understanding of Six Sigma, but it probably applies everywhere. I know that having a normal ...
123 views

Is redundancy across different modalities required in multimodal machine learning

There are lots of articles available pertaining to 'multi-modal machine learning'. Among the major challenges, there is a one of representation i.e. "how to represent and summarize multi-modal data ...
17 views

Does the multimodal probability distribution tend toward uniform distribution as number of modes becomes very large?

Does the multimodal probability distribution tend toward uniform distribution as number of modes becomes very large? Multimodal probability density distribution is formed by the convex combination of ...
17 views

Significance of modes in a distribution

I have several datasets with angular measurements, i.e. circular values from 0 to $2\pi$. These datasets tend to have peaks at 0 and/or $\pi$, and I need to tell if the peaks are detected/significant. ...
49 views

How is 'domain adaptation' different from 'exploiting' multiple domains?

I am asking this question from context of transfer learning paradigm of machine learning. In transfer learning, we are given different domains one of which is a target domain and others, the ...
15 views

Fastest Multimodal sampler

I am currently working with Multinest, a bayesian multimodal sampler however it becomes slow for higher dimensions, exponentially slow. Is there another sampler out there that can give me parameter ...
259 views

How to combine multiple signal data in my ML model?

I'm doing a task where I need to work with healthcare data from a few different sources. For example, one is an audio signal recording while another is biometric signal reading such as ECG. Both of ...
216 views

Does it make sense to calculate MLE for multimodal distributions?

The simplest examples of multimodal distributions I've seen are mixtures, namely mixtures of normals. However, in this case, the Maximum Likelihood Estimator [MLE] doesn't make much sense. An example ...