For questions about artificial intelligence.

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1answer
13 views

Markov Decision Process - Optimal policy invariance to scaling in the Utility Function

The title says it all. If i use a discounted Utility Function, why is the optimal policy invariant with respect tot the scaling of the Utility Function by a positive Factor?
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1answer
40 views

probabilistic behaviour

I am trying to understand what 'probabilistic behaviour' in a 'deterministic model' means. I am reading this paper http://www.ulb.ac.be/sciences/use/publications/JLD/16.pdf but i find myself unable ...
3
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0answers
124 views

Convert a WFF to Clausal Form

I'm given the following question: Convert the following WFF into clausal form: \begin{equation*} \forall(X)(q(X)\to(\exists(Y)(\neg(p(X,Y)\vee r(X,Y))\to h(X,Y))\wedge f(X))) \end{equation*} ...
1
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0answers
164 views

Modern mathematical theory on Neural Networks, Cellular Automata, Neuroscience

Is it possible for someone to do research on Neural Networks/Cellular Automaton/Neuroscience as an applied mathematician, for its theoretical development, especially based on some modern mathematics, ...
1
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0answers
71 views

i,j,k values of the theta matrix in neural networks

SO I'm looking at these two neural networks and walking through how the ijk values of Theta correspond to the layer, the node number, and either there are redundant values or I'm missing how the ...
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0answers
11 views

Decide for which class of points neurone will give output 1

We have to class of points red and green. We create neurone with discrete binary activation function. How to choose weights so ...
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0answers
17 views

Derivative of sigmoid function in backpropagation

I never took an advanced Math course so please excuse my lack of comprehension. I've been thinking about the back propagation algorithm and I'm confused about a few things... So in backpropagation ...
0
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0answers
12 views

Shouldn't the attribute with the biggest entropy be choosen as a root in each recursion?

Actually the title describes everything. I have built a model using AIspace. The root node has: Entropy: 1 Output value T: 6 Output value F: 6 The next node: Entropy: 0.092 Output ...
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0answers
30 views

Online machine learning algorithm for dynamical system

I have a complex dynamical system which takes input as x1, x2, x3 and gives output as y1, y2, y3. I don't have any mathematical model of the system. x(k) is the present input to the system and y(k) is ...
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0answers
23 views

Some doubts related to statistic entropy concept in ID3 machine learning algorithm

I am studying the statistic entropy concept used by ID3 machine learning algorithm For a domain exemplified by the learning set S (that is the set of the examples that I use to build a decision ...
0
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0answers
38 views

Some theoretical question about ID3 machine learning algorithm

I am studying the ID3 algotithm for an universitary exame and I have some problems to understand how is select the best attribute to create new subtrees having fewer attributes in their root (until ...
0
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0answers
91 views

Gradient descent/ nonlinear optimization intuition needed

all. I'm taking an introductory AI class, and we're using the gradient descent algorithm to find the optimized/ lowest cost of a set of thetas (variable coefficients) to best fit a regression line. In ...