Questions tagged [reference-request]

Use this tag when requesting examples of research or links to papers. For example, "What paper is a good place to start in the field of X?" or "What are good examples of Y in research?",

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1answer
31 views

How to calculate the false positives and negatives?

I have a huge amount of data and I want to calculate my false positive and false negative. Is there a software that can help me determine it?
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1answer
31 views

Reinforcement learning with hints or reference model

In Reinforcement Learning, when I train a model, it comes up with its own set of solutions. For example, if I am training a robot to walk, it will come up with its own walking gait, such as this Deep ...
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21 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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0answers
35 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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3answers
220 views

Evolutionary neural architecture?

I'm working on an idea for an AI architecture, and would like to know if there are any apparent flaws, or if there is prior work in this vein. Set I/O so that the neural network can read and write ...
2
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1answer
49 views

What are the most common methods to enable neural networks to adapt to changing environments?

For real applications, concept drifts often exist, i.e., the relationship between the input and output changes overtime. Thus, we need our AI or machine learning system to quickly adapt to the ...
1
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1answer
58 views

Suggestion Request about my AI roadmap [duplicate]

I am a first-year electrical engineering undergraduate student. I want to be an Artificial Intelligence scientist, and I want to make contributions to this field like Geoffrey Hinton. I think that AI ...
2
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1answer
50 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....
4
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1answer
107 views

Where can I find the proof of the universal approximation theorem?

The Wikipedia article for the universal approximation theorem cites a version of the universal approximation theorem for Lebesgue-measurable functions from this conference paper. However, the paper ...
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0answers
10 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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0answers
24 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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2answers
87 views

Is there any research work that attempts to combine neuroevolution with deep reinforcement learning

Neuroevolution can be used to evolve a network's architecture (and weights, of course). Deep reinforcement learning, on the other hand, has been proven to be extremely powerful at optimising the ...
2
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1answer
59 views

Other deep learning image generation techniques besides GANs?

Can you please point me to some resources about image genereation besides GANs? Are there any other techniques throughout history? How did idea of image generation evolved and how it started? I tried ...
2
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1answer
53 views

What are the known ways to test AI black boxes?

Is there any conmprehensive paper or site that describes an overview of the known black box testing techniques?
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2answers
79 views

How is neural architecture search performed?

I have come across something that IBM offers called neural Architecture search. You feed it a data set and it outputs an initial neural Architecture that you can train. How is neural architecture ...
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1answer
103 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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0answers
30 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 ...
2
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0answers
50 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
39 views

Are there communities dealing with costs-vs-accuracy tradeoffs in Machine Learning?

My group is working on a ML model that can work with little data (and bad accuracy) as long as there actually is little data available but can easily be extended as soon as said data becomes available ...
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1answer
73 views

How can I systematically learn about the theory of neural networks?

I have seen a few articles about neural nets. Mostly they went along these lines: we tried these architectures, these meta parameters, we trained it for $x$ hours on $y$ CPUs, and it gave us these ...
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1answer
46 views

Is there a mathematical example for Conditional Random Fields?

I am learning about probabilistic graphical models and I was wondering if there is an example explaining the math behind conditional random fields. Looking solely on the formula, I have no idea what ...
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0answers
55 views

First perceptron learning algorithm

I struggle to find Rosenblatts perceptron training algorithm in any of his publications from 1967 - 1951, namely: [1] Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms [2] ...
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4answers
254 views

What are examples of reference books to start with AI?

Can anyone suggest reference books to start with AI? Preferably, I am looking for books that provide source code in Java or Python.
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1answer
389 views

What is the best book for learn Artificial Intelligence [closed]

What is the best book for learn Artificial Intelligence?
4
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1answer
109 views

What does “hard for AI” look like?

In theoretical computer science, there is a massive categorization of the difficulty of various computational problems in terms of their asymptotic worst-time computational complexity. There doesn't ...
5
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1answer
133 views

Self-driving control logic based on semantic segmentation

In the context of autonomous driving, two main stages are typically implemented: an image processing stage and a control stage. The first aims at extracting useful information from the acquired image ...
3
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3answers
124 views

What are some books or state of the art papers about the development of a strong-AI?

I am looking for books or to state of the art papers about current the development trends for a strong-AI. Please, do not include opinions about the books, just refer the book with a brief ...
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0answers
66 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 ...
2
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1answer
363 views

Is Christopher Bishop’s “Pattern Recognition and Machine Learning” out of date in 2018?

I recently came across reference to a book that was highly regarded: “Pattern Recognition and Machine Learning” by Christopher Bishop. I am a beginner working my way through some machine learning ...
2
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1answer
50 views

What are some resources regarding the complexity of training neural networks?

In the paper "Provable bounds for learning some deep representations", an autoencoder like a model is constructed with discrete weights and several results are proven using some random-graph theory, ...
3
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1answer
115 views

Can Artificial Being learn despite a lack of self-awareness?

While am thinking about the age of Artificial General Intelligence and Artificial SuperIntelligence , this question came into my mind. This Bell Labs blog post says: "...where humanity is ...
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5answers
330 views

AI beginners books for coding

Does anyone know a good book to buy for beginners to coding for artificial intelligence? I have done some coding in Java and a little with Python, but I would be willing to learn a new language too.
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4answers
1k views

Is there something like OpenCV for voice recognition & NLP?

As you know OpenCV is a big great open-source library for image recognition and machine vision(and may further purposes like computer graphics, etc). Is there similar library in sound field(Voice ...
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0answers
53 views

Implementing deep learning papers for the beiginners [closed]

How did you implement your first ever model from a deep learning paper? Please share your experience. It will be useful for beginners looking into getting into implementing code for papers. A step by ...
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3answers
72 views

What are the top contributions from neuroscience to AI and viceversa? How much progress has been made from the interaction between these two fields?

What are the top contributions from neuroscience to artificial intelligence and vice versa? How much progress has been made from the interaction between these two fields? Is there a formal field ...
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2answers
5k views

Complete deep learning text classification with Python example

I would like to know if there is a complete text classification with deep learning example, from text file, csv, or other format, to classified output text file, csv, or other. I have seen tens of ...
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1answer
83 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 ...
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2answers
103 views

Measuring Soft Skill

How can we attach numerical value to the measurement of soft skill? Is there any book, site or materials that can teach me how to do this? I want to know if there is any way we can measure soft skill ...
6
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3answers
759 views

“Artificial Intelligence: A Modern Approach” book alternatives

There are two textbooks that I most love and am most afraid of in the world: Introduction to Algorithms by Cormen et al. and Artificial Intelligence: A Modern Approach by Norvig et al. I have started ...
3
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3answers
290 views

Which functions can't neural networks learn efficiently?

There are a lot of papers that show that neural networks can approximate a wide variety of functions. However, I can't find papers that show the limitations of NNs. What are the limitations of ...
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1answer
37 views

Resources on incremental and online learning novelty detection algorithms

Can you please point me to some good tutorials/examples on the application of incremental (online) learning novelty detection algorithms?
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1answer
251 views

The connection between number of layer of DNN and computational complexity of it

number of layer of DNN and computational complexity of it are correlated after optimization, but how to estimate it before designing DNN?
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0answers
25 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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3answers
2k views

Permutation invariant neural networks

Given a neural network $f$ that takes as input $n$ data points: $x_1, \dots, x_n$. We say $f$ is permutation invariant if $$f(x_1 ... x_n) = f(pi(x_1 ... x_n))$$ for any permutation $pi$. ...
3
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1answer
665 views

Automatic punctuation

I am building a system that should take text without punctuation and automatically add punctuation. I found some papers about automatic punctuation, but they are mostly about spoken language ...
1
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1answer
184 views

What chatbots can answer this type of (simple) question

I have tried with two chat-bots "clever bot" and "http://www.a-i.com/alan1/" and i got disappointing results. me: Socrates is a man bot: blah blah (common bot nonsense instead of an "ok") ...
3
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1answer
180 views

Searching keywords on web

I have not studied machine learning or AI really, but my job sometimes requires me to automate stuff. Right now the requirement I have, seems to be under AI domain, but I am not sure about ...
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2answers
15k views

How can these 7 AI problem characteristics help me decide on an approach to a problem?

If this list1 can be used to classify problems in AI ... Decomposable to smaller or easier problems Solution steps can be ignored or undone Predictable problem universe Good solutions are ...