Questions tagged [inference]
The inference tag has no usage guidance.
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Detection of musical instruments using Yamnet
My goal is to detect musical instruments with AI (machine learning).
I'm currently using the Yamnet model to make inferences, but it has a very wide range of categories, for example, "Growling&...
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Question regarding model inference consistency
I am doing some research on gaze estimation model L2CS provided in here.
When you look at the inference predictions on provided image, when face/eye direction barely changes, inference predictions ...
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Global variant of Jeffreys Prior
The Jeffreys prior can be viewed as a way to ensure that "accidental similarities" between nearby models in some hypothesis space do not produce commensurate "accidental biases" in ...
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Which Frameworks/Libs Best Support Integer-Based Features, Scaling, Training, etc?
Papers such as Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference have interested me in exploring integer-based data science. In particular, I'm thinking of ...
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How to Use Multiple Adapters with a Pretrained Model in Hugging Face Transformers for Inference?
I have a pretrained Llama-2 model in the models_hf directory and two fine-tuned adapters: a summarization adapter in ...
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What is the distinction between clinical significance and statistical significance?
https://en.m.wikipedia.org/wiki/Clinical_significance
The Link says
"Jacobson-Truax is common method of calculating clinical significance. It involves calculating a Reliability Change Index (RCI)....
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Are we allowed to use classifiers to estimate the outcome in the first stage of Double Machine Learning when the outcome is binary?
It is clear to me how to proceed when the outcome is continuous, since the EconML and all other references I checked work with this type of examples (continuous outcome case). We simply apply a ...
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What is the best way to combine cross-validation and bootstrapping for one application?
We intend to model data with non-parametric covariate splines and we would like to understand the uncertainty of the parameter estimates/response estimates.
Currently, we use cross-validation to model ...
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How can I deal with a computationally expensive simulator method in Sequential Monte Carlo/Approximate Bayesian Computation?
I am doing Approximate Bayesian Computation with Sequential Monte Carlo with PyMC in a way that is similar to what is described in this example of the ...
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Statistical significance on aggregate data to show that the groups are different?
I am working with performance data for three groups for each region. The denominator for the groups is the number of people who are identified as low performers. For region A, Group-1 low performer %= ...
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Best practices for serving user-specific large models in a web application?
First execuse any naive statement you may find below, i'm a newcomer to the field.
How do web applications that integrate fine-tuning of large machine learning/deep learning models handle the storage ...
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Inference Process in Autoregressive Transformer Architecture
I'm abit confused about how the inference/prediction process works in transformer.
For simplicity suppose it is a transformer for translation. My understanding is that when training, the whole input ...
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What are the requirements for a word list to be used for Bayesian inference?
Intro
I need an input file of 5 letter English words to train my Bayesian model to infer the stochastic dependency between each position. For instance, is the probability of a letter at the position 5 ...
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Whether to use LDA or QDA
I'm trying to determine whether it's best to use linear or quadratic discriminant analysis for an analysis that I'm working on. It's my understanding that one of the motivations for using QDA over LDA ...
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How can I store sources, effective dates, and confidence for every property in a knowledge graph?
What I am wanting to do is ensure that every property in a knowledge base comes from at least one source. I would like to ensure that every edge is spawned (or at least explained) by some event, like ...
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