For questions about mathematical significance/feasibility of a particular algorithm used in an Artificial Intelligence or Machine Learning program.
2
votes
1answer
12 views
Are there any discount-factors based on branching factors?
I recently came across this function:
$$\sum_{t = 0}^{\infty} \gamma^t R_t.$$
It's elegant and looks to be useful in the type of deterministic, perfect-information, finite models I'm working with.
...
1
vote
0answers
24 views
Optimization step in Apprenticeship Learning via Inverse Reinforcement Learning
Why the optimization step of the algorithm a quadratic program? [See: Apprenticeship Learning via Inverse Reinforcement Learning; page 3]
Isn't the objective function linear? Why don't we treat ...
6
votes
2answers
258 views
Can deep networks be trained to prove theorems?
Assume we have a large number of proofs in first order predicate calculus. Assume we also have the axioms, corollaries, and theorems in that area of mathematics in that form too.
Consider the each ...
6
votes
3answers
111 views
Mathematics for AI researcher
What are the mathematical prerequisites for understanding the core part of the algorithms in artificial intelligence and developing own algorithm? Please refer me the specific books.
3
votes
1answer
87 views
Mathematical modelling of A.I algorithms
How does one even begin to mathematically model an A.I algorithm like alpha-beta pruning or even its thousands of variations, to determine which variation is best?
1
vote
0answers
20 views
Simple question about HS algorithm's formul(Optical flow)
In the below pic, I can not understand what U vector is? It says flow field but I can not imagie what really is the flow field?
1
vote
0answers
64 views
How does this sigma work?(Harris algorithm) [closed]
May someone explains some first iterations of this sigma?
Also, how did it convert the above expression to below expression? What it the meaning of I(x) and I(y)?
6
votes
1answer
137 views
Is there any scientific/mathematical argument that prevents deep learning from ever producing strong AI?
I read Judea Pearl's The Book of Why, in which he mentions that deep learning is just a glorified curve fitting technology, and will not be able to produce human-like intelligence.
From his book ...
1
vote
1answer
46 views
Defining formula for fuzzy equation
I'm learning fuzzy logic and more or less understand the basic concept, but i'm having a hard time understanding how to apply it to a method. I tried browsing online for explanation on how to use it, ...
0
votes
0answers
32 views
Back propagation in NN with sigmoid activation function - division by 0
I am following this article Mind: How to Build a Neural Network (Part One) to build 'hello world' in the world of neural networks - XOR.
During the back-propagation phase author calculates changes in ...
2
votes
5answers
751 views
What maths are required to study General AI?
I want to know what maths prerequisite is needed for moving deep in general Artificial Intelligence or strong AI
2
votes
0answers
56 views
How to calculate gradient of filter in convolution network
I have similar architecture like in image:CNN.
I don't understand how to calculate gradient of filter F.
I found these equations(source):
Gradient and delta,
where first equation calculate gradient ...
2
votes
3answers
71 views
Cost Function Question
I have completed week 1 of Andrew Ngs course and I understand that the cost function for linear regression is defined as J (theta0,theta1) = 1/2m*sum (h(x)-y)^2 and the h is defined as h(x) = theta0 + ...
1
vote
1answer
39 views
Please explain this “log probability function”? What does each part mean?
Can anyone explain what information the formula gives us. What does the notations mean? Where i can find more material about what does the log probability function do?
3
votes
1answer
67 views
K-Armed Bandit and Reinforcement Learning
In the book "Reinforcement learning" by Sutton there is a discussion of the k-armed bandit problem, where the expected reward from the bandits changes slightly over time (is non-stationary). Instead ...
2
votes
1answer
148 views
Viola Jones Algorithm
Can Viola Jones algorithm can be used to detect the facial emotion. Actually it was used in creating harr-cascade file for object and facial detection. But what confused me is whether it can be used ...
2
votes
5answers
356 views
Artificial Intelligence and its mathematics
I would like to ask community members what kind of knowledge is required to jump into the field of AI.
Currently I have just started programming and development. What should I pursue in order to get ...
7
votes
6answers
693 views
Getting started with Artificial intelligence
I'm currently pursuing Computer science engineering.So I would like to know where to start and what mathematics is needed to jump in.
6
votes
6answers
8k views
How does one start learning artificial intelligence?
I am a software engineering student and I am complete beginner to AI. I have read a lot of articles on how to start but each article suggests a different way. I was wondering if some of you experts ...
2
votes
1answer
41 views
Why expression of cost function divides by 2? [closed]
Here is formula for calculating cost value of single neuron:
C_x = (1/2) * || y - a ||^2
why there is 1/2?
1
vote
1answer
531 views
Are FFNN (MLP) Lipschitz functions?
My question is regarding standard dense-connected feed forward neural networks with sigmoidal activation.
I am studying Bayesian Optimization for hyper-parameter selection for neural networks. There ...
4
votes
1answer
131 views
Is recursion used in practice to improve performance of AI systems?
Is there any methods by which artificial intelligence use recursion(s) to solve a certain issue or to keep up working and calculating?
-6
votes
2answers
170 views
What are the approaches to predict sequence of π numbers? [closed]
Given list of fixed numbers from a mathematical constant such as Pi, is it is possible to train AI to attempt to predict the next numbers?
Which AI or neural network would be more suitable for this ...
13
votes
4answers
6k views
Is it possible to train the neural network to solve math equations?
I'm aware that neural networks are probably not designed to do that, however asking hypothetically, is it possible to train the deep neural network (or similar) to solve math equations?
So given the ...
