Questions tagged [reference-request]

Use when requesting examples of research or research papers, books, articles, blog posts or courses. For example, "Is there any published research about X?" or "What are good examples of Y in research?".

36 questions with no upvoted or accepted answers
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Which Rosenblatt's paper describes Rosenblatt's perceptron training algorithm?

I struggle to find Rosenblatt's perceptron training algorithm in any of his publications from 1957 - 1961, namely: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms The ...
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31 views

Which machine learning method can take a matrix as input?

I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean,...
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33 views

References and books for unsupervised learning

I am looking for good introductory and advanced books in AI, especially unsupervised learning. I have already read books like Probabilistic Graphical Models from D. Kholler and Pattern Recognition and ...
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18 views

Is there any published research on the information-carrying capacity of the human face?

Is there any published research on the information-carrying capacity of the human face? Here I mean "how much information can be conveyed via facial expressions & micro-expressions". This is a ...
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20 views

Is there an online RL algorithm that receives as input a camera frame and produces an action as output?

I want to build a reinforcement learning model, which takes a camera picture as input, that learns online (in terms of machine learning). Based on the position of an object on the camera, I want the ...
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40 views

Is there a good book or paper on word embeddings?

Is there a good and modern book that focuses on word embeddings and their applications? It would also be ok to provide the name of a paper that provides a good overview of word embeddings.
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20 views

Boston Housing Current Best Model

I'm currently looking for a standard data-set to test some new regression models I've been developing on, and the "Boston Housing Prices" data-set seemed to stand out, since it's very standard. ...
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18 views

References on generalization theory and mathematical abstraction of ML concepts

I'd like to learn about generalization theory for machine learning algorithms. I'm looking for books and other references (in case books aren't available) that provide a gentle introduction to the ...
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28 views

Is there a detailed description or implementation of an end-to-end speech recognition system?

I am currently trying to implement an end-to-end speech recognition system from scratch, that is, without using any of the existing frameworks (like TensorFlow, Keras, etc.). I am building my own ...
2
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1answer
440 views

Which machine learning models are universal function approximators?

The universal approximation theorem states that a feed-forward neural network with a single hidden layer containing a finite number of neurons can approximate a wide variety of interesting (...
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54 views

ChatBot applications [Academia]

I am in education and I'm wondering about the use of chatbot-like tools to facilitate automated discussions among students. The chatbot domain of knowledge would be purposely restricted to a specific ...
2
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1answer
57 views

How can I learn tensors for deep learning?

I've seen in most deep learning papers use tensors. I understood what tensors are, but I want to dive into them, because I think that might be beneficial for further studies in Artificial Intelligence....
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30 views

Is there an AI system that, given a patient's symptoms, produces a diagnosis and suggests a treatment?

Is there an AI system (preferably, one that interacts with the human, such as a chatbot like this one) that, given some input (e.g. entered into the system by writing text), such as a person's ...
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21 views

When to do quantization to decrease the state/action space in RL?

When to do quantization to decrease the state/action space in RL? Can you give me some references that such a technique is used?
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13 views

Are there any board game appropriate to examine the performance of multiple agents that cooperate both inter-group and intra-group?

I want to find out scenarios that useful to examine the performance of intra-group and inter-group cooperation in MARL. Specifically, I prefer a board game (like sudoku) that is suitable for the ...
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18 views

Are there any training datasets using standard font text rather than hand written ones?

Are there any training datasets using standard font text rather than handwritten ones? I tried using the MNIST handwritten one on font based chars, but it didn't work well.
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15 views

Will structured knowledge bases continue to be used in question answering with the likes of BERT gaining popularity?

This may come across as an open and opinion-based question, I definitely want to hear expert opinions on the subject but I am also looking for references to materials that I can read deeply. One of ...
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41 views

What AI technologies were used in earlier versions of StarCraft?

I remember back in the 2000s, it was, and still is possible to play against computers in StarCraft BroodWar. They were not as good as pro players, but still reasonably smart. What AI technologies ...
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28 views

What are recent AI software systems and research papers close to J. Pitrat's ideas?

J. Pitrat (born in 1934) was a French leading artificial intelligence scientist (the first to get a Ph.D. in France mentioning "artificial intelligence"). His blog is still online and of course refer ...
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8 views

Regional specialization in neural networks (especially for language processing)?

What is the status of the research on regional specialization of the artificial neural networks? Biology knows that such specialization exists in the brain and it is very important for the functioning ...
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24 views

Is there any paper that uses truncated neural networks?

Recently, I've found good success in truncated neural networks ie functions of the form $$ g=f1_{[-M,M]^d}, $$ where $f:\mathbb{R}^d\to\mathbb{R}^n$ is a feed-forward neural network and $1_{[-M,M]^d}$ ...
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47 views

How to count pixels in a object mask which is segmented using Mask R-CNN?

I have segmented concrete cracks from concrete structure images using Mask R-CNN. Now I need to measure the length of the segmented masked crack. Will the pixel counting method work? Can anyone help?...
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14 views

Looking for GAN paper with spiral image

I am looking for a GAN paper I have read a while ago, but unfortunately cannot find it again. I think it compared GANs and other methods (like CVAEs) w.r.t. how they handle multi-modal data, not sure ...
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27 views

Reference request: one-hot encoding outperforming random orthogonal encoding

I experimented with a CNN operating on texts encoded as sequences of character vectors, where characters are encoded as one-hot vectors in one embedding and as random unit length pairwise orthogonal ...
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13 views

Predicting Hot Categories In a Reference Manager

Reference managers like Zotero or Mendeley allow researchers to categorize papers into hierarchical categories called collections. The User navigates through a listing of these collections when filing ...
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26 views

I am looking for research related to the use of AI and ML in car, aeronautics manufacturing design and safety

I am specifically interested in the topic of edge cases. I have the presentation Edge Cases and Autonomous Vehicle Safety as a starting point, in particular on page 6: Machine Learning (inductive ...
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67 views

Comprehensive list of MOOCs and books on Reinforcement Learning

I'm actually trying to learn more about reinforcement learning but I've some trouble to find good resources. Right now I'm in the condition where I'm not so good on the topic to fully understand the ...
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26 views

Are there a finite set of computable functions constructing deep neural network which can form or implement any c.e. function or computable function?

Are there a finite set of computable functions constructing deep neural network which can form or implement any c.e. function or computable function? Or does there exist a finite set of computable ...
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1answer
21 views

What are the most common feedforward neural networks?

What are the most common feedforward neural networks? What kind of inputs do they receive? For example, do they receive binary numbers, real numbers, vectors, or matrics? Is there such a taxonomy?
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21 views

What are some papers on face comparison in videos?

I have the following problem. Given two random frames in a video of some people, assume I can detect all faces in both frames. I would like to create a classifier that takes in pairs of faces out of ...
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16 views

Are there any good research papers on image identification with limited data?

I'm a newbie in machine learning and I am interested in neural networks. Are there any good research papers on image identification with limited data?
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23 views

Methods for automated insertion of emojis into text?

I want to build a deep learning algorithm that places emojis in a extended tracts of text. The intent is to choose emojis related to the meaning of the text. Where should I start? I've read that ...
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20 views

What are examples of models for traffic sign detection that can be easily implemented?

I'm working on a college project about traffic sign detection and I have to choose a paper to implement it, but I have basic knowledge of TensorFlow and I'm afraid of choosing a paper that I can't ...
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78 views

Model-based Reinforcement Learning algorithm for real-time robotics task

I'm quite a newbie when it comes to practically working with Deep Learning techniques, although I studied them quite a lot theoretically in the last months. However, now I'm facing my first practical ...
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48 views

Few doubts regarding facial recognition

What are some famous algorithms that i can apply to develop a face recognition software to achieve more than 95% accuracy .What are some good sources related to this. I have basic knowledge related ...
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1answer
117 views

Design ads and posters with Machine Learning

I would like to write a program that takes a number of elements as input (some images and some strings) and outputs a design (the program places the images and strings on a canvas, but also styles the ...