Newest 'learning-algorithms' Questions

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Can an ML model sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time?

I am pondering on the question in the title. As a human being, somehow I can sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time (But I am not sure.). Can an ...

machine-learning computational-learning-theory learning-algorithms

asked Feb 5 at 23:09

verdery

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What would be the best criteria for determining the best generation on a maze training by mutation?

I'm training a neural network to solve a maze. My process is the following: Randomly generate a small maze Spawn hundreds of cars at the start, that will go through the same one maze Assign the same ...

neural-networks genetic-algorithms learning-algorithms mutation-operators

asked Nov 25 '20 at 0:21

Giovanni Campaner

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votes

0answers

17 views

Alternatives to Hierarchical RL for centralized control tasks?

Consider a problem where the agent must learn to control a hierarchy of agents acting against another such agent in a competitive environment. The agents on each team need to learn cooperate in order ...

reinforcement-learning learning-algorithms hierarchical-rl

asked Aug 9 '20 at 19:15

iceburger

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35 views

Can Reinforcement Learning be used for UAV waypoint control?

I want to make a drone which can follow static and dynamic waypoints. I am a total beginner in the drone field so I can't figure out that should I use Reinforcement Learning or any other learning ...

reinforcement-learning algorithm learning-algorithms

asked Jun 11 '20 at 10:24

Vihaan Misra

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1answer

61 views

How do you know if an agent has learnt its environment in reinforcement learning?

I'm new to reinforcement learning and trying to understand it. If you train an agent using a reinforcement learning algorithm (discrete or continuous) on an environment (real or simulated), then how ...

reinforcement-learning rewards intelligent-agent learning-algorithms environment

asked May 4 '20 at 8:34

Cristian M

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34 views

Is there a theory that captures the following ideas?

A big class of problems that are relevant in today's society are full of uncertainty and are also sometimes computationally intractable. Along our lives we come to realize that we are solving the same ...

theory models learning-algorithms

asked Apr 29 '20 at 2:08

Vyraj

1311 bronze badge

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vote

2answers

85 views

Why does the machine learning algorithm need to learn a set of functions in the case of missing data?

I am currently studying the textbook Deep Learning by Goodfellow, Bengio, and Courville. Chapter 5.1 Learning Algorithms says the following: Classification with missing inputs: Classification ...

machine-learning classification learning-algorithms probability-distribution

asked Feb 20 '20 at 8:34

The Pointer

3022 silver badges13 bronze badges

2

votes

1answer

77 views

Which ANN can solve for y = x * x + b?

I am new to ANN. I am trying out several 'simple' algorithms to see what ANN can (or cannot) be used for and how. I played around with Conv2d once and had it recognize images succesfully. Now I am ...

neural-networks keras learning-algorithms

asked Feb 19 '20 at 19:38

Mike de Klerk

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34 views

Intellectual property in the age of Industry 4.0

I am looking for specific references describing guidance principles around the interplay between IP (intellectual property) and Artificial Intelligence algorithms. For example, Company A has a large ...

learning-algorithms legal business

asked Feb 11 '20 at 1:53

val

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vote

0answers

41 views

How can I write out the Real-TIme Recurrent Learning Gradient equations for a network?

This question is about Real-Time Recurrent Learning Gradient on a Recurrent neural network . How can I write out the RTRL equations for a network ? Before present an example give let's introduce ...

neural-networks recurrent-neural-networks learning-algorithms

asked Dec 20 '19 at 23:36

estamos

1479 bronze badges

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vote

0answers

46 views

How would an AI learn the concept of the words “repeat twice”?

In a hypothetical conversation: Person A - "Repeat the word 'cat' twice". Person B - "cat cat". I'm thinking about how a human or AI can learn the concept of "...

machine-learning natural-language-processing learning-algorithms human-computer-interaction

asked Dec 20 '19 at 3:43

zooby

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5

votes

1answer

130 views

How can we prove that an autoassociator network will continue to perform if we zero the diagonal elements of a weight matrix?

How can we prove that an auto-associator network will continue to perform if we zero the diagonal elements of a weight matrix that has been determined by the Hebb rule? In other words, suppose that ...

neural-networks machine-learning learning-algorithms hebbian-learning

asked Dec 14 '19 at 13:00

estamos

1479 bronze badges

2

votes

3answers

144 views

How do you interpret this learning curve?

Loss is MSE; orange is validation loss, blue training loss. The task is NN regression (18 inputs, 2 outputs), one layer 300 hidden units. Tuning the lr, mom, l2 regularization parameters this is the ...

neural-networks machine-learning loss-functions learning-algorithms cross-validation

asked Nov 27 '19 at 0:22

Andrea Favilli

212 bronze badges

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votes

0answers

67 views

Unable to train Coach for Banana-v0 Gym environment

I have just started playing with Reinforcement learning and starting from the basics I'm trying to figure out how to solve Banana Gym with coach. Essentially ...

reinforcement-learning learning-algorithms gym

asked Nov 25 '19 at 22:43

KeepLearning

1413 bronze badges

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vote

2answers

287 views

What is the difference between a learning algorithm and a hypothesis?

What's the distinction between a learning algorithm $A$ and a hypothesis $f$? I'm looking for a few concrete examples, if possible. For example, would the decision tree and random forest be considered ...

comparison terminology computational-learning-theory learning-algorithms hypothesis

asked Nov 24 '19 at 15:33

Shirish Kulhari

3431 silver badge9 bronze badges

3

votes

1answer

72 views

Is it possible to do K-nearest-neighbours before training DNN

The following X-shape alternated pattern can be separated quite well and super fast by K-nearest Neighbour algorithm (go to http://ml-playground.com to test it): However, DNN seems to face great ...

neural-networks deep-learning learning-algorithms greedy-ai symbolic-ai

asked Sep 26 '19 at 2:04

datdinhquoc

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votes

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32 views

Algorithm to solve a fault independent of its type

I am looking to plan a solution for a workspace fault and not hardware faults. Consider a task where a robot has to move balls from one place to another. In case it faces any condition which is ...

learning-algorithms robotics problem-solving path-planning path-finding

asked Sep 20 '19 at 13:14

Sam

211 bronze badge

2

votes

1answer

114 views

Using ML to analyze Facebook posts

First of all, I should mention that I have a very basic knowledge of ML so I apologize if this question seems trivial or stupid. I am working on a small personal project, basically an app that ...

machine-learning applications learning-algorithms

asked Aug 19 '19 at 2:12

user28054

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1answer

24 views

Use AI to auto-correlate the words of human-translated texts?

There are many, many literary works in the public domain, along with human translations, many of which have entered the public domain as well. (Public domain = easily available) In order for me to ...

algorithm learning-algorithms

asked Mar 9 '19 at 13:22

Evgeniy Berezovsky

1112 bronze badges

2

votes

4answers

360 views

Can we define the AI singularity mathematically?

The "AI Singularity" or "Technological Singularity" is a vague term that roughly seems to refer to the idea of: Humans can design algorithms Humans can improve algorithms Eventually algorithms we ...

math learning-algorithms singularity

asked Feb 17 '19 at 23:18

Phylliida

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vote

1answer

695 views

Does a solution for Wumpus World with neural networks exist?

The Wumpus World proposed in book of Stuart Russel and Peter Norvig, is a game which happens on a 4x4 board and the objective is to grab the gold and avoiding the threats that can kill you. The rules ...

neural-networks deep-learning reinforcement-learning game-ai learning-algorithms

asked Sep 20 '18 at 8:14

pic

1132 bronze badges

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1answer

40 views

What is the approach to deduce formal rules based on data?

We have data in text format as sentences. The goal is to detect rules which exist in this set of sentences. I have a limited set of contextless sentences that fit a pattern and want to find the ...

machine-learning learning-algorithms unsupervised-learning

asked Sep 15 '18 at 20:16

Artem

1113 bronze badges

4

votes

1answer

176 views

How do I train a bot to solve Katona style problems?

Cognitive psychology is researched since the 1940s. The idea was to understand human problem solving and the importants of heuristics in it. George Katona (an early psychologist) published in the ...

getting-started learning-algorithms intelligent-agent breadth-first-search graph-theory

asked Aug 28 '18 at 20:09

GundamOfOasis

536 bronze badges

2

votes

1answer

169 views

What's an appropriate algorithm for classification with categorical features?

My input data consists of a series of 8 integers. Each integer is a discrete token, rather than a relative numeric value (i.e. '1' and '2' are as distinct as are '1' and '100'). The output is a ...

algorithm classification learning-algorithms categorical-data

asked Aug 4 '18 at 10:01

user17281

212 bronze badges

6

votes

1answer

392 views

Why not teach to a NN not only what is true, but also what is not true?

I'm not a person who studies neural networks, or does anything that is related with that area, but I have seen a couple of seminars, videos (such as 3Blue1Brown's Series), and what I am always told is ...

neural-networks deep-learning backpropagation learning-algorithms

asked Jul 13 '18 at 9:47

Our

1613 bronze badges

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votes

1answer

65 views

Teaching a NN to manipulate pseudoRNG over a long time scale?

For speedrunning purposes, I am trying to train a neural network to identify human-executable ways to manipulate pseudo-RNG (in Pokemon Red, for the interested). The game runs at sixty frames per ...

neural-networks game-ai recurrent-neural-networks learning-algorithms

asked May 18 '18 at 0:54

RSQ

111 bronze badge

2

votes

1answer

97 views

Which machine learning algorithm is suitable for detecting text w.r.t set of words

Considering the scenario where supervised training data-set in the form of sentence will be given to train the machine The Bomb which had been planted by Terrorist on this morning was defused by ...

machine-learning algorithm learning-algorithms

asked May 17 '18 at 16:16

Nɪsʜᴀɴᴛʜ ॐ

1215 bronze badges

2

votes

1answer

4k views

Where do 'random seeds' get used in deep neural networks?

I know that when creating neural networks it's standard practice to create a 'random seed' so that you can get producible results in your models. I have a couple of questions regarding this: Is the ...

neural-networks deep-learning learning-algorithms

asked May 3 '18 at 7:50

Joshua Terrill

2992 silver badges6 bronze badges

2

votes

1answer

1k views

Value iteration algorithm from pseudo-code to C++

I am having a difficult time translating this pseudocode into functional C++ code. At line 10: The value function is represented as V[s], which has a bracket notation like arrays. Is this a separate ...

learning-algorithms c++

asked Apr 17 '18 at 16:28

ALostBegginer

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votes

1answer

62 views

Which is best: evaluation of states or probability of moves?

If you have a game and you are training an AI there seems to be two ways to do it. First you take the game-state and a possible move and evaluate whether this move would be good or bad: (1) ...

machine-learning learning-algorithms

asked Apr 15 '18 at 17:42

zooby

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6

votes

1answer

381 views

Can we use the recursive least squares as a learning algorithm to an ADALINE?

I'm new to neural network, I study electrical engineering, and I just started working with ADALINEs. I use Matlab, and in their Documentation they cite : However, here the LMS (least mean squares) ...

learning-algorithms linear-regression

asked Mar 17 '18 at 3:55

Carter Nolan

1855 bronze badges

1

vote

2answers

69 views

In the multi-linear regression, how is the value of weight $b_2$ calculated?

In multivariate linear regression (linear regression with more than one variable) the model is $yi = b_0 + b_1x_{1i} + b_2x_{2i} + ...$ , and so on. But how is the $b_n$ value calculated iteratively? ...

machine-learning learning-algorithms linear-regression

asked Mar 8 '18 at 21:13

jdw136

211 bronze badge

3

votes

2answers

147 views

Predict frequently purchased items under certain conditions with customer purchasing history data

I have purchasing history data for grocery shopping. I am trying to get abnormally frequently purchased items under certain conditions. For instance, I am trying to find frequently purchased items, ...

machine-learning unsupervised-learning learning-algorithms r

asked Feb 13 '18 at 5:23

John legend2

1512 bronze badges

2

votes

2answers

43 views

Recommend item from set based on features

Forgive what might be a basic question. I'm just experimenting with ML / AL and I have a small problem set and I'd like to see if it can be solved with ML / AI. Basically, given a set of objects ...

machine-learning learning-algorithms

asked Jan 22 '18 at 14:22

Matt Murrell

1212 bronze badges

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votes

2answers

320 views

What is the proof behind the gradient of a curve being proportional to the distance between the two co-ordinates in the x-axis?

In the [delta rule][1] the equation to adjust the weight with respect to error is $$w_{(n+1)}=w_{(n)}-\alpha \times \frac{\partial E}{\partial w}$$ *where $\alpha$ is the learning rate and $E$ is the ...

machine-learning backpropagation learning-algorithms gradient-descent

asked Jan 20 '18 at 10:58

souparno majumder

1837 bronze badges

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votes

1answer

91 views

Artificial Intelligence and Automatic Scheduling

I do not have background in Artificial Intelligence related algorithms etc. But I have a scheduling problem that needs to be resolved. For example, employees need to be scheduled for on call. They ...

learning-algorithms getting-started ai-basics

asked Jan 19 '18 at 17:17

Forum Member

211 bronze badge

1

vote

0answers

58 views

How do stacked denoising autoencoders work

I've been studying a recommender system which uses a collaborative deep learning approach and Bayesian learning. It has the following NN representation : I need to know the working of stacked ...

neural-networks deep-learning learning-algorithms recommender-system

asked Jan 17 '18 at 12:49

m2rik

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vote

0answers

228 views

Natural language processing with a continuous dependent variable

I have a large number of observations. Each observation contains: dependent variable: a scores ranging from 0 - 100 independent variable: a large article I want to know which words or phrases ...

machine-learning deep-learning training natural-language-processing learning-algorithms

asked Dec 24 '17 at 23:59

user341502

1191 bronze badge

1

vote

2answers

110 views

Trading off “Memory” vs “Optimization”

I've been researching the following topic. Or rather, I would like to but I can't find anything because I'm not sure what to look for. I am interested weather there are some concepts or models that ...

human-like learning-algorithms chess combinatorial-games

asked Oct 25 '17 at 9:51

hh32

1737 bronze badges

3

votes

1answer

492 views

Machine learning algorithm for xml manipulation

Given a virtual game map (picture) and a racing car at the map's starting point, I'm trying to build an algorithm that would help me generate a route that would get the car from the beginning to the ...

machine-learning algorithm learning-algorithms

asked Sep 28 '17 at 19:55

user9890

5

votes

2answers

1k views

Approaches to an algorithm for crossing a road

I want to write an algorithm which indicates to a robot the first point in time when it is reasonably safe to cross a road. Assume that the robot's goal is to travel to a location that requires a ...

algorithm learning-algorithms

asked Aug 26 '17 at 18:13

Ruchit Vithani

1635 bronze badges

4

votes

1answer

1k views

Is a decision tree less suitable for incremental learning than e.g. a neural net?

I can recall that a professor once said that decision trees are not good for incremental learning, as they have to be rebuilt from the ground up if new training examples arrive. Is this basically ...

machine-learning reinforcement-learning learning-algorithms

asked Aug 16 '17 at 19:29

Ulu83

1434 bronze badges

5

votes

3answers

352 views

Why do Decision Tree Learning Algorithm preferably outputs the smallest Decision Tree?

I have been following the ML course by Tom Mitchel. The inherent assumption while using Decision Tree Learning Algo is: The algo. preferably chooses a Decision Tree which is the smallest. Why is ...

machine-learning unsupervised-learning learning-algorithms

asked Jul 31 '17 at 8:23

imflash217

4654 silver badges13 bronze badges

2

votes

1answer

115 views

Recognition of abbreviated text

I want to write a program that looks at abbreviated words, then figures out what the words are. For example, the abbreviation is "blk comp", and the translation is "black computer". In order to give ...

neural-networks deep-learning algorithm genetic-algorithms learning-algorithms

asked Mar 6 '17 at 0:28

Neo_999

232 bronze badges

2

votes

1answer

354 views

Perceptron learning [closed]

There is an example related to perceptron learning, but I couldn't get it, I don't exactly know how to solve it. There is a snippet from lecture notes. What is the transformation between epochs?

machine-learning algorithm learning-algorithms

asked Dec 14 '16 at 5:21

appkovacs

291 bronze badge

5

votes

1answer

96 views

How can artificial intelligence (including deep learning algorithms) find suspicious patterns in the body’s biochemistry?

It has been suggested that machine learning algorithms (also Watson) can help with finding disease in patient images and optimize scans. Also that deep learning algorithms show promise for every type ...

deep-learning healthcare learning-algorithms

asked Aug 14 '16 at 3:17

kenorb

9,7472 gold badges35 silver badges84 bronze badges

3

votes

1answer

123 views

Which learning algorithms are suitable for data leakage detection and prevention?

I'm investigating applications of AI algorithms which can be used for data leakage detection and prevention within an intranet network (like Forcepoint). More specifically detecting traffic patterns. ...

learning-algorithms

asked Aug 13 '16 at 4:08

kenorb

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