Questions tagged [artificial-intelligence]

Artificial Intelligence (AI) is a topic in computer science that deals with the study / creation of intelligent machines. Use this tag for on-topic questions that have an AI aspect.

Filter by
Sorted by
Tagged with
1
vote
0answers
18 views

Big Data Clustering

I've got some big datasets of images (few million each) and I would like to cluster them according to images' visual similarities. I've extracted a feature vector for each image; the space of feature ...
1
vote
1answer
15 views

Why are non-local blocks really slow?

I have added non-local blocks into my CNN decoder, but this increases the training time by four times the original time without, so i don't really want to use it! What is the reason it is too slow? My ...
0
votes
1answer
12 views

Why is Inception Net so bad for my model?

I am running Inception Encoder Net with Batch Normalisation on images of cell nuclei, in particular, there are thousands of data points to be classified into 5 groups. I have run various ResNet models ...
0
votes
0answers
20 views

How to approach Model and policy in reinforcement learning?

Hey I am currently taking Stanford cs243 reinforcement learning course in Youtube to learn reinforcement learning in that I understand that policy is something like a function which get a specific ...
0
votes
0answers
8 views

Best approach to a simple resume clasification model?

Say I have a dataset containing simple "resumes", with variables like name, occupation, experience, education, ..., and a final dummy variable which is "hired", (= 1 if yes, = 0 ...
0
votes
0answers
11 views

Physiological signal event prediction

i would like to build a real time binary classifier that is able to predict that an event of interest is occuring, as soon as it starts. These are electromyographic signals and the event ...
0
votes
0answers
10 views

Why do we need more than 1 epoch to train data? [duplicate]

As 1 epoch means each data point has gone through the algorithm once and made changes in weighted values accordingly . So , why there is a need to process same data again and again ? How does it ...
0
votes
0answers
15 views

How can I do one class learning for outlier detection?

I understand I can use various sampling techniques when dealing with imbalanced datasets. However, I wonder how I can build a classification model from the training dataset only including data that ...
1
vote
0answers
18 views

Are decision trees related to maximum likelihood estimation?

I am just curious if decision tree is conceptually related to maximum likelihood estimation. As far as I know, when a decision tree split, it uses entropy for its nodes. However, I don't know if using ...
1
vote
0answers
20 views

How does self play work in RL?

I try to understand how self play worl in Reinforcement learning with ppo2. Do i have one model which predicts an action for both sides? If yes, do i Update the model with experiences ...
0
votes
0answers
9 views

What does Certainty Factors mean in Artificial Intelligence?

I am wondering what Certainty Factors could mean in Artificial Intelligence. I just got the term while googling for the meaning of uncertainty related to Bayesian Statistics. I also wonder if there is ...
2
votes
0answers
39 views

Are Spiking Neural Networks The Next Big Thing? [closed]

Intel recently announced their Loihi chip as part of their "Neuromorphic Computing" research, which is optimized for spiking neural networks (SNNs). I found an example of a problem in which ...
0
votes
0answers
16 views

What does the loss function for a heteroscedasticity areatoric uncertainty mean in Bayesian Neural Network?

The following is the loss function to learn a Heteroscedastic uncertainty model: $ Loss = \frac{|| y - \hat{y} ||_2}{2 \sigma^2} + \frac{1}{2} \log \sigma^2 $ I am having trouble in understanding what ...
0
votes
0answers
31 views

Machine Learning: How to Evaluate Chess Positions

I am currently working on a machine learning project in an attempt to predict a given chess position's engine evaluation (the way Stockfish or some other engine would). I have a dataset containing ...
0
votes
0answers
14 views

What exactly are nodes or units in neural networks?

Let's say I have a simple feed-forward network with 1 hidden layer of 500 units/nodes with sigmoid activation function for binary classification of "customer churn" or "customer don't ...
0
votes
0answers
26 views

NLP technique for multiple sentence fusion (combination) into one readable sentence

looking for help in knowing if there is a possible solution in natural language processing that could help me use or build a model that combine two or more different sentences into one for example: ...
0
votes
1answer
26 views

Is ML and DL turning math into code? beginner

I've gathered some interest over artificial intelligence (ml and dl) and noticed a lot of it is turning math into code if you wish to improve upon a model that will make a prediction. If you wanted to ...
2
votes
0answers
41 views

What are SHAP loss values?

Could anybody give a simple explanation of SHAP loss values? Perhaps with an example? (I googled it but didn't find a lot and the things I found were not very clear... at least not to me)
1
vote
0answers
28 views

Why do CNNs work well with natural data such as speech, images, and text? [closed]

According to the universal Approximation theorem, we can approximate any given function with two-layer neural networks with a sufficient number of nodes. Then Why do CNNs work well with natural data ...
1
vote
1answer
55 views

Number of states in HMM

I am testing a HMM model by generating data from a 3x3 transition matrix and 3x4 emission matrix and then trying to train a HMM model against this data with different initializations. When I plot the ...
0
votes
1answer
16 views

What are the rules for evolving a partially connected neural network using a genetic algorithm?

I am working on a project where I need to implement the NEAT algorithm in python. after doing some research I came across an issue that I can't seem to find a solution for online, I hope this is the ...
0
votes
1answer
42 views

How can you use a neural network to extract the needed information from social media ads?

How to solve the following problem using neural networks / and machine learning / artificial intelligence? Input data - is an ad from a channel or group of a social network. For example, this: A room ...
1
vote
0answers
13 views

Search depth of Alpha Go and Alpha Go Zero [closed]

I cannot find reliable sources but someone says it is 40 moves and someone says it is 50+ moves. I read their papers and they use value function (NN) and policy function to trim the tree so more ...
0
votes
0answers
13 views

Non - convergence of loss function in Neural Networks with a step activation function [duplicate]

In the below lecture by Professor Patrick H. Winston on Neural Networks: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/...
1
vote
1answer
21 views

teaching AI models to say “i dont know” using sample distributions

i would like to begin with apologizing for this long post ..with that out of the way, here goes we build email bucketing tools and the biggest challenge we had was to get an IDK / IRR output from the ...
3
votes
1answer
86 views

Does matlab neural network toolbox use early-stopping by default?

I have trained a neural network in matlab using the toolbox (code below), but I no longer have a maltab license; does anyone know if the validation in this toolbox by default is only to assess the ...
1
vote
1answer
26 views

Fitting data to a reward based learning model?

I need some help thinking about modeling some data I have. Specifically, I am wondering if this dataset fits within the framework of reinforcement learning (I have only terse knowledge in this area), ...
1
vote
0answers
51 views

Possible reasons that validation recall is fluctuating across different epochs but the precision is stable?

I know this is not a coding question, but didn't have any idea where can I ask for help on this. I'm training a deep learning model. After each epoch I measure the performance of the model on ...
0
votes
0answers
3 views

PLSR algorithm and terms like weight, loading, score

Can anyone suggest good resources to understand Partial Least Square Regression(PLSR) algorithm and the terms associated with it like weight, score, loading. I am doing a project on soil macro-...
0
votes
1answer
291 views

What is temporal leakage?

So I've been trying to work out exactly what temporal leakage is for a while now and I'm getting nowhere. I'm not necessarily looking to code or anything, I'm more so interested in what it actually is ...
0
votes
0answers
25 views

Dueling DQN - solving the identifiability problem

I want to implement a Dueling DQN. I know that the idea is to estimate V (scalar), the value of a given state, and A (vector) - the advantage, separately. A is the difference between V and the Q ...
2
votes
2answers
53 views

What could be an intutive understanding of a hyperplane?

This "Hyperplane" word gradually becoming more important to understand as I delve deeper into machine learning applications. To explain Hyperplane, the wiki article majorly speaks about one ...
0
votes
0answers
19 views

Re-training deep learning models multiple times to be able to compare their performance?

Let us say I have two deep learning models that differ in their hyperparameters and I want to compare their performance to each other (in terms of acc/ROC for example). However, a single value from ...
0
votes
0answers
18 views

Difference between CRF and Fully Connected CRF?

Can anyone explain me the difference between Conditional Random Fields and Fully Connected Conditional Random Fields for semantic segmentation? I only understand so far, that with CRF you try to use ...
0
votes
1answer
45 views

How do you combine an image and meta data as input in machine learning?

Well my question is really about text, but image is easier to understand. Let’s say I have some images and some meta data about the images and I want to train a model with the metadata and the image ...
0
votes
0answers
12 views

Choosing the sample size and number of samples for the bootstrap method to assess ANNs

Reading some online instructionals on the bootstrap method as a method to assess the performance of an Artificial Neural Network: https://machinelearningmastery.com/a-gentle-introduction-to-the-...
1
vote
0answers
22 views

How to compare the behaviour of different pretrained RL models?

I have a number of pretrained RL models (PPO2, ACER, ACKTR, ...) and I want to compare their behaviour in the environment. This includes their performance in respect of the episode-reward as well as ...
1
vote
1answer
65 views

Is there Automatic Selection of what Statistical Method Should be Used for Data Analysis?

I'm wondering if there exists a software/library that asks you questions about your dataset and then spits out the appropriate statistical method to use. I have searched online to find mostly that it'...
0
votes
0answers
8 views

Constraint optimization when target value is categorical

I am trying to build prescriptive model for feature parameter optimization. My dataset have both continuous and categorical features (x1, x2,x4,x4) and my target (y) is {0, 1} . I have build random ...
0
votes
1answer
17 views

How to train a model with time series to predict an object's weight?

Let's say I have an object, like a ball and I want to predict its weight. I have a bunch of different sensors that record a time series of the event. Each event is a different ball I would like to ...
1
vote
0answers
30 views

AI algorithm blind test - sample size

My company works in healthcare consulting, and are working with medical practitioners to explore how AI might be able to assist the remote, early diagnosis of central nervous system disorders such as ...
0
votes
1answer
44 views

Weighted importance sampling (WIS) and Importance sampling (IS)

I am currently reading papers about off-policy evaluation (or counterfactual evaluation) of reinforcement learning policies, including ones about the doubly robust estimator. As in this paper https://...
1
vote
0answers
19 views

when is it better to use One Vs All and when to use One Vs One in Statistics and Machine Learning?

I would love to further understand the uses and the application because while I understand the difference I still don't know which one is better for which type of problem.
0
votes
1answer
21 views

approach to classify text with natural language processing methods

I have a problem with regards to text classification/categorization. The task is bugging me for days already and as I am pretty new to AI and the field of natural language processing (NLP) I am just ...
7
votes
3answers
1k views

What happens in the sub-areas of AI? (ML, DL)

I have problems with understanding the sub-areas of AI and how it works. AI has the sub-area Machine Learning (ML), in which learning algorithms are used. Supervised/unsupervised learning takes place ...
1
vote
1answer
22 views

Is Matrix Factorization also going to work with one feature?

I need to fill missing values. I have found that there are many approaches such as the mean and the median of the feature as well as using Matrix Factorization. However, I am kind of wondering if I ...
0
votes
0answers
16 views

When is the manifold hypothesis violated?

If the high-dimensional dataset is of full rank, like an N samples by N features matrix, will the manifold hypothesis be violated? i.e. we cannot assume those data live on a lower-dimensional space?
0
votes
0answers
20 views

Xavier Initialization and Simoid activation function

One of the major assumptions made in Xavier initialisation is that the inputs to a neuron has a mean of zero. This is widely adapted in neural networks especially when the layers use tanh or sigmoid ...
0
votes
0answers
73 views

Should Training,test and validation data sets should be independent of each other in neural networks?

I have a dataset of n items and i draw three samples of equal size. These three samples are training set,test set and validation set. I want to use this data for training ,testing and to check ...
0
votes
0answers
38 views

Representation of state space, action space and reward system for RL porblem

I am trying to solve the problem of an agent dynamically discovering(start with no information about the environment) the environment and to explore as much of the environment as possible without ...

1
2 3 4 5 6