Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.
1
vote
0answers
36 views
Conditional Probabilities as Tensors?
Is it proper to view conditional probabilities, such as the forms:
P(a|c)
P(a|c,d)
P(a, b|c, d)
...and so forth, as being tensors?
If so, does anyone know of a decent introductory text (online ...
0
votes
0answers
4 views
problem in running libsvm in c [migrated]
Hi I wanted to run libsvm on c
I have scaled my train data and tried to do cross validation to obtain the best parameters but I don't know how to do ... in below I tried to read my scaled train data ...
0
votes
0answers
40 views
What is the purpose of Bayes Nets
I have seen a lot of explanations of what bayes nets are, but I simply cannot wrap my head around their use in code. So here is my three part question.
Am I right in my definition of bayes nets? ...
5
votes
2answers
79 views
What was going on before PAC learning
I am investigating PAC learning (computational learning theory) as a beginner with no previous knowledge of machine learning / AI. I am investigating the model mainly from a historical point of view.
...
3
votes
2answers
56 views
Can we understand SVM without knowledge of Machine Learning [closed]
I was told by my adviser (future one) to look into libsvm library or any other and try to get familiar with it.. to work on a programming project (on Machine Learning) (will start in a month).
my ...
1
vote
1answer
34 views
How is sound input and output data converted to use with machine learning networks?
Suppose one has a couple of .wav files with English spoken words, multiple ones for each word, and for each such set there exists a transcription of their right output, the pronunciation as ascii ...
1
vote
0answers
36 views
Once taught, should I feed back the network's actual output into itself in an Echo State Network?
I’m trying to make an Echo State Network (ESN) in Python and althought I already read many articles about it, still there are many points I don’t understand.
(I had trouble putting 'ESN' in context ...
0
votes
0answers
30 views
Which nodes do I give the input to in a Liquid State Machine?
I’m trying to make a Liquid State Machine in python and I already read many articles about it, but still there are many points I don’t understand.
(I had trouble putting 'LSM's in context to see what ...
0
votes
0answers
21 views
Is Liquid optimization of the Liquid State Machine an essential step?
I’m trying to make a Liquid State Machine in python and I already read many articles about it, but still there are many points I don’t understand.
Currently I have troubles understanding what the ...
0
votes
0answers
28 views
What is the difference between the 'liquid' and the 'liquid state'?
I’m trying to make a Liquid State Machine in python and I already read many articles about it, but still there are many points I don’t understand.
Starting from the articles, I had trouble putting ...
1
vote
0answers
33 views
How is the Liquid State Machine's readout function trained?
I’m trying to make a Liquid State Machine in python and I already read many articles about it, but still there are many points I don’t understand.
The readout function is a Feed-forward Neural ...
3
votes
2answers
69 views
Predicting energy consumption of households
I have the dataset which you can find here, containing many different characteristics of different houses, including their types of heating, or the number of adults and children living in the house. ...
-1
votes
1answer
22 views
Graphic file formats for visual computing [closed]
I've started collecting samples for a computer vision data set, and I'm working from scratch, so I was wondering if I should favor a file format over the others when scanning my documents.
Any tips ...
1
vote
1answer
39 views
Looking for Rating Functions
I'm looking for something i would call rating functions.
I'm searching for some literature about this concept.
I'm not really sure about the terminology, but what I mean should be pretty obvious.
A ...
2
votes
0answers
19 views
Differences between Fuzzy C-Means and EM
When clustering a set of data points, what exactly are the differences between Fuzzy C-Means (aka Soft K-Means) and Expectation Maximization?
In slide 30 and 32 of this lecture I found, it says that ...
3
votes
1answer
55 views
Adapting neural network
I have on a few occasions trained neural networks (back propagation networks) with some rather complicated data sets (backgammon positions and OCR). When doing this, it seems that a lot of the work ...
3
votes
1answer
48 views
Using the appropriate machine learning algorithm [duplicate]
I am not sure if this is the right forum to ask this.
I have some data of the houses, like their size(in square meters), if they use aircondition, how many residents live in, I have their electricity ...
5
votes
0answers
41 views
Which classifier is more accurate for a SVM classification?
I am learning the SVM classification and encounter a problem. I am not sure if this dilemma has a terminology for it.
Assume we would like to classify patient by SVM given the samples of healthy ...
5
votes
2answers
66 views
What can be learned from the weights in a neural network?
I'm very new to neural networks, and have been trying to figure some things out. So, let's say you come across a neural network which has 100 inputs, a hidden layer with 200 nodes, and 32 outputs. ...
2
votes
1answer
55 views
What is the Meaning of the Notation [duplicate]
What is meant by saying an algorithm runs in time $Poly(|S|,n,\frac{1}{\epsilon})$.
Can somebody explain with an example.
2
votes
1answer
66 views
Machine Learning vs System Identification?
Could anyone explain to me the differences & similarities between machine learning and system identifications? Are these just two names of the same thing? In this page, they say:
Machine ...
1
vote
2answers
41 views
Data structure and algorithms for a medical diagnosis software
For an academic question, I plan to design a medical diagnosis system. Given a description of symptoms, produce a list of probable diseases (with closeness matching). I'm having some trouble finding ...
3
votes
0answers
58 views
What learning algorithm is appropriate for predicting one time-series from another?
I have eye-tracking data on two subjects -- a teacher, and a student. It's in the form (x, y, time), so there is a series of these for each subject. What the teacher looks at influences what the ...
1
vote
0answers
26 views
Help understanding an audio processing algorithm
I'm reading “Speech segmentation without speech recognition” by Dong Wang, Lie Lu and Hong-Jiang Zhang.
The algorithm I'm looking at is a V/C/P (Vowel/Consonant/Pause) classification algorithm on a ...
1
vote
1answer
45 views
Pool of photos for term extraction
I need a pool of photos (if possible with description) for my project. I mainly have to perform term extraction for semantic searching. Is there something available out there that is made available ...
2
votes
3answers
97 views
Handwritten character recognition as characters are being traced
I'm looking for an OCR technique (PCA or SVM or anything else) in a peculiar setting. I want to detect the motion of the finger so that if someone writes something in front of the camera in the air, I ...
1
vote
1answer
86 views
Construct a context-free grammar for a given set of words
I have seen a few years back a nice and simple algorithm that, given a (finite) set of words in some alphabet, builds a context-free grammar for a language including these words and in some sense ...
2
votes
2answers
90 views
About the behaviour of multi-layer perceptrons
I have a multilayer perceptron. It has an input layer with two neurons, a hidden layer with an arbitrary number of neurons, and an output layer with two neurons.
Given that ...
2
votes
1answer
56 views
Analyzing rules of articles in languages
I'm interested in finding a solution for the following problem:
problem space: any language that has more than 1 article
let's take German language as example. So the articles in German are "der", ...
3
votes
1answer
39 views
What Properties Matter For the Bound on Generalization Error of Hypothesis Set?
As I know, there are several upper bounds on the generalization error of hypothesis set with respect to sample complexity. For hypothesis space $V$, if the learning algorithm output the set of ...
4
votes
1answer
54 views
k-armed bandit - index policies vs. Q-learning
I am interested in the stateless k-armed bandit problem, where an agent repeatedly chooses one of k independent arms, each with a different distribution of rewards, and tries to maximize its total ...
0
votes
0answers
90 views
Masters for Artificial Intelligence [closed]
I am very interested in going to graduate school to study Artificial Intelligence. I am currently an undergrad student majoring in Computer Science, I will be finished in a year and a half so I ...
3
votes
1answer
60 views
$\ell_1$ Minimization of Probability Distribution and KL-Divergence
Suppose through $\ell_1$ minimization I obtained two sparse probability distributions $P, Q$ which may contain many zero terms. Then I would like to compute the KL-Divergence of them $D(P || Q) = ...
2
votes
1answer
68 views
Do linearly dependent features in feature vectors improve the feature vector?
I was reading Wiki on feature vectors, and as far as I can see, it suggests creating new features from already existing features:
Higher-level features can be obtained from already available ...
0
votes
1answer
65 views
Machine Learning and Artificial Intelligence [closed]
Is machine learning a branch of (AI) Artificial Intelligence, or its own field?
3
votes
1answer
121 views
Machine Learning: how to correctly calculate gradient descent for simple linear problem
So, I was trying to learn machine learning, and, after watching a couple of Andrew Ng's lectures decided to try and write a simple piece of code to determine what someone's salary would be based on ...
3
votes
1answer
79 views
Why use joint trees in Graphical Models?
I am wondering why some methods transform the underlying graphical model (Bayesian Network for example) to a junction tree¹? What are the advantages? Also what are the limitations?
I believe it's ...
-2
votes
1answer
131 views
20 Question Neural Network
Could some one please explain how the 20 Question game's neural network works. How are the questions to be asked selected. I am not interested in decision tree solution unless the decision tree is ...
3
votes
0answers
65 views
Building probability distribution functions from observation
There are N players and M objects, each of the objects has a value. Each player has a strategy in choosing an object. Each round a player will choose an object, many players can choose the same ...
5
votes
0answers
45 views
Fixed-length decision-tree-like feature selection to minimize average search performance
I have a complex query $Q$ used to search a dataset $S$ to find $H_\text{exact} = \{s \in S \mid \text{where $Q(s)$ is True}\}$. Each query takes on average time $t$ so the overall time in the linear ...
1
vote
0answers
60 views
unsupervised anomaly detection: assigning the clusters to normal and anomaly
Having a unsupervised algorithm done on a dataset (e.g. K-means), how to determine which cluster is normal and which is anomalous (for 30 clusters, for example)?
If the dataset contains normal ...
1
vote
1answer
62 views
What courses to learn for artificial neural networks and machine learning? [closed]
http://www.scotthyoung.com/blog/mit-challenge/#1
This guy's work is mind blowing. He learned the 4 year MIT CS curriculum in 1 year, at home through opencourseware. I want to get into artificial ...
7
votes
0answers
103 views
Alternatives to SVD for rank factorization
I have rank-deficient matrix $M \in \mathbb{R}^{n\times m}$ with $\text{rank}(M) = k$ and I want to find a rank factorization $M = PQ$ with $P \in \mathbb{R}^{n \times k}$ and $Q \in \mathbb{R}^{k ...
4
votes
2answers
167 views
Algorithm to find the probability of a given text to be about a large topic
I want the conditional probability for each topic (being the word that we give as input). For example, the text being
have seen and reviewed your requirements you posted here. If you can
give ...
1
vote
1answer
106 views
Using Funk SVD with SGD?
I work on a recommender system framework which is implemented with a variant on Funk SVD (See his explanation of his algorithm here).
However the framework that we are trying to integrate doesn't ...
1
vote
3answers
211 views
Machine Learning - Support Vector Machines
I'm looking for good resources regarding Support Vector Machines, or suggestions where to start learning SVM.
Already used references:
Stanford ML course by Andrew Ng is great place to star
A ...
3
votes
1answer
163 views
What are the mathematical prerequisites for adaptive machine learning algorithms?
I am a PhD student in Computer Science who switched his PhD a little bit towards ML algorithms combined with something else... I am an expert in that something else, say image processing, but not an ...
4
votes
3answers
143 views
How can lazy learning systems simultaneously solve multiple problems?
On the english Wikipedia it says about lazy learning systems:
Because the target function is approximated locally for each query to the system, lazy learning systems can simultaneously solve ...
3
votes
2answers
98 views
What could you learn from studying player movement and behaviour on online FPS games?
Just thinking of Counter Strike as a canonical example, if you have a coordinate representation of the map and for every player you have a complete history of everything you might need for every ...
1
vote
1answer
61 views
Which Is a Better Way of Obtaining Scales, Gaussian Blur or Down Sampling?
In computer vision, scales are important when we carry out a scene analysis. Choosing different scales affect the result of the analysis. For example, if a face is relatively small in the scene, then ...
