Questions tagged [learning-algorithms]
For questions about different learning algorithms used by a Machine Learning program to achieve its end goal.
47
questions
3
votes
1answer
43 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 ...
7
votes
1answer
85 views
How does Atlas from Boston Dynamics have human-like movement?
Discussing the video More Parkour Atlas a friend asked how the robot's movement where so similar to the one from a real human and wondering how this is achieve?
To my knowledge this is not something ...
2
votes
0answers
29 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 ...
2
votes
1answer
46 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 ...
0
votes
0answers
12 views
How to use FSICFR (or CFRM) trained result in real dice game playing
I trained a Liar Dice game (similar rule please refer to https://www.wikihow.com/Play-Liar%27s-Dice , and i am using 2 player + 1 dice vs 1 dice) with FSICFR algorithm and got an information set with ...
0
votes
1answer
25 views
Can the decision algorithm C4.5 learn a GOAP model?
Goal oriented action planning (GOAP) is a well known planning technique in computer games. It was introduced to control the non-player characters in the game F.E.A.R. (2005) by creating an abstract ...
1
vote
1answer
18 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 ...
2
votes
2answers
157 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 ...
1
vote
1answer
47 views
Artificial intelligence as a product of algorithms
Is this approach nonsense since reason produces algorithms as a method of solving problems. The algorithm is a sequence of events that perform a task till completion of the problem. Reason is ...
0
votes
1answer
78 views
how to predict the stock of food items using ai
Actually, I want to make an AI model which tells the seller about the maintaining stock of food items as a parameter of time and eventually learns by itself with the customer buying data
(problem - ...
5
votes
2answers
169 views
What is the difference between people and Neural-Network models?
There are many people trying to show how computer models are still very different from humans, but I fail to see in what way are people different from neural models in anything but complexity?
The ...
1
vote
1answer
73 views
AI learning by demonstration for web navigation
I don't know what to search for, so I'll try to describe what I'm trying to do : I want an AI that learns by showing it how to navigate on the Internet.
Let's say I want to save 50 images from a ...
0
votes
1answer
610 views
Why we use LIFO(Last in First Out) queue in depth first search?
As, we use FIFO(First In First Out) queue in breadth search algorithm but in depth first search we use LIFO.Why we use LIFO instead of FIFO in depth first search?
5
votes
3answers
182 views
What are the algebraic properties of intelligence?
Some have said, "Two heads are better than one." That's true if they are collaborating. If not, the two together may be worse than zero.
Although that's a rhetorical opening paragraph, this is a ...
1
vote
1answer
390 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 ...
0
votes
1answer
34 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 ...
4
votes
1answer
157 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 ...
2
votes
1answer
128 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 ...
5
votes
1answer
309 views
Learning algorithms of Neural Networks
Could you please let me know which of the following classification of Neural Network's learning algorithm is correct?
The first one classifies it into:
supervised,
unsupervised and
reinforcement ...
5
votes
1answer
187 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 ...
1
vote
0answers
58 views
How basically AI synthesize thinking?
In the instance like AlphaGo Zero.
How N' why AlphaGo Zero's training is so stable? Compared with traditional game theory applied in Deep RN technique!?
How "AlphaGo Zero" differs from "...
-1
votes
1answer
49 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 ...
1
vote
1answer
74 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 ...
1
vote
1answer
2k 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 ...
2
votes
1answer
577 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 ...
0
votes
1answer
53 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) ...
6
votes
0answers
244 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) ...
0
votes
2answers
55 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? ...
3
votes
2answers
138 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, ...
2
votes
2answers
34 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 ...
0
votes
2answers
123 views
what is the proof behind the gradient of a curve being equal/proportional to the distance between the two co-ordinates in the x-axis [closed]
In the delta rule the equation to adjust the weight with respect to error is :-
where is the Learning Rate and E is the ...
-1
votes
1answer
80 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 ...
1
vote
0answers
46 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 ...
1
vote
0answers
110 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 ...
1
vote
2answers
106 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 ...
3
votes
1answer
362 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 ...
5
votes
2answers
534 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 ...
4
votes
1answer
298 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 ...
5
votes
3answers
214 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 ...
5
votes
3answers
280 views
Which AI branch should I follow for Natural Language Processing problem?
I'm doing some testings on NLP and I was thinking to write a code that works like this.
Subject -> User input -> Output
Dog ownership -> I own a dog -> Yes
Dog ownership -> My dog is called Joe -> ...
10
votes
2answers
639 views
Will computers be able to understand user emotions? How far are we?
My research is in the field of the Affective Computing, particularly I'm studying the part of emotion recognition which is, indeed recognising the emotions that are being felt by the user/subject.
...
5
votes
2answers
324 views
Unsupervised learning with continuous space
I'm not sure if this is a right question for this community or not and if not forgive me.
I have this ANN model which gets an input and gives an output. The output is an action which interacts with ...
5
votes
1answer
201 views
How do big companies apply machine learning?
I was wondering about how recommendation on youtube work for example ? How are the algorithms applied, because every user gets different recommendations depending on his location, his past liked ...
2
votes
1answer
111 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 ...
3
votes
1answer
330 views
Perceptron learning
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?
4
votes
1answer
86 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 ...
3
votes
1answer
102 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. ...
