Questions tagged [inference]

Inference is the act or process of deriving logical conclusions from premises known or assumed to be true. The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic.

Inference is the act or process of deriving logical conclusions from premises known or assumed to be true. The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic.

Or inference can be defined in another way. Inference is the non-logical, but rational, means, through observation of patterns of facts, to indirectly see new meanings and contexts for understanding. Of particular use to this application of inference are anomalies and symbols. Inference, in this sense, does not draw conclusions but opens new paths for inquiry. In this definition of inference, there are two types of inference: inductive inference and deductive inference. Unlike the definition of inference in the first paragraph above, meaning of word meanings are not tested but meaningful relationships are articulated.

Human inference (i.e. how humans draw conclusions) is traditionally studied within the field of cognitive psychology; researchers develop automated inference systems to emulate human inference. Statistical inference allows for inference from quantitative data.

Source:http://en.wikipedia.org/wiki/Inference

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What is Hindley-Milner?

I encountered this term Hindley-Milner, and I'm not sure if grasp what it means. I've read the following posts: Steve Yegge - Dynamic Languages Strike Back Steve Yegge - The Pinocchio Problem Daniel Spiewak - What is Hindley-Milner? (and why is it…
yehnan
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Why not infer template parameter from constructor?

my question today is pretty simple: why can't the compiler infer template parameters from class constructors, much as it can do from function parameters? For example, why couldn't the following code be valid: template class Variable…
GRB
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TensorFlow Lite C++ API example for inference

I am trying to get a TensorFlow Lite example to run on a machine with an ARM Cortex-A72 processor. Unfortunately, I wasn't able to deploy a test model due to the lack of examples on how to use the C++ API. I will try to explain what I have achieved…
DocDriven
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Calling template function without <>; type inference

If I have a function template with typename T, where the compiler can set the type by itself, I do not have to write the type explicitly when I call the function like: template < typename T > T min( T v1, T v2 ) { return ( v1 < v2 ) ? v1:…
OlimilOops
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Meaning of @Flow annotation

In Intellij IDEA 14 there is a feature called Automatic Contract inference [1]. What exactly does the inferred @Flow annotation mean? For example for Collection's boolean addAll(Collection c)the inferred contract is boolean…
lukstei
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How to find the Input and Output Nodes of a Frozen Model

I want to use tensorflow's optimize_for_inference.py script on a frozen Model from the model zoo: the ssd_mobilenet_v1_coco. How do i find/determine the names of the input and output name of the model? Hires version of the graph generated by…
gustavz
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"cannot infer type for `_`" when using map on iter in Rust

I'm having an issue where I'm trying to initialise a 2D array of booleans with random true/false values but the compiler doesn't seem to be able to infer the types I need; I am just wondering what I need to specify for the inference engine to be…
dave
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Implementation of sequential monte carlo method (particle filters)

I'm interested in the simple algorithm for particles filter given here: http://www.aiqus.com/upfiles/PFAlgo.png It seems very simple but I have no idea on how to do it practically. Any idea on how to implement it (just to better understand how it…
shn
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Python tools/libraries for Semantic Web: state of the art?

What are the best (more or less mature, supporting more advanced logic, having acceptable performance, scalable to some extent) open source Semantic Web libraries and tools (RDF storage, reasoning, rules, queries) for Python nowadays? Historically…
Roman Susi
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How to implement neural network pruning?

I trained a model in keras and I'm thinking of pruning my fully connected network. I'm little bit lost on how to prune the layers. Author of 'Learning both Weights and Connections for Efficient Neural Networks', say that they add a mask to…
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SPARQL Querying Transitive

I am a beginner to SPARQL and was wondering if there was a query which could help me return transitive relations. For example the n3 file below I would want a query that would return "a is the sameas c" or something along those lines. Thanks…
Sam
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Sharing GPU memory between process on a same GPU with Pytorch

I'm trying to implement an efficient way of doing concurrent inference in Pytorch. Right now, I start 2 processes on my GPU (I have only 1 GPU, both process are on the same device). Each process load my Pytorch model and do the inference step. My…
Astariul
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Prolog Beginner - Is This a Bad Idea?

The application I'm working on is a "configurator" of sorts. It's written in C# and I even wrote a rules engine to go with it. The idea is that there are a bunch of propositional logic statements, and the user can make selections. Based on what…
Anthony Compton
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How to increase AWS Sagemaker invocation time out while waiting for a response

I deployed a large 3D model to aws sagemaker. Inference will take 2 minutes or more. I get the following error while calling the predictor from Python: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received server error…
Stiefel
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How to speed up Tensorflow 2 keras model for inference?

So there's a big update nowadays, moving from TensorFlow 1.X to 2.X. In TF 1.X I got use to a pipeline which helped me to push my keras model to production. The pipeline: keras (h5) model --> freeze & convert to pb --> optimize pb This workflow…
Gergely Papp
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