Methods and principles of building "computer systems that automatically improve with experience."

learn more… | top users | synonyms (1)

1
vote
0answers
14 views

Improving the results coming from an image recognition API

We are developing a software application that will automatically suggest tags (keywords) for images that are being uploaded into a database of already-tagged (by a human) images. We are using a 3rd ...
0
votes
0answers
7 views

Propagating uncertainties using random forest out-of-bag accuracy estimates

Let's say I train a random forest on some data and get an out-of-bag accuracy estimate of 90%. I then predict a quantity using this trained forest. What should be the uncertainty I give to that ...
0
votes
0answers
10 views

Compare the performance of a classifier on original and under-sampled data set?

I want to evaluate the performance of a classifier with original imbalance data set and after under sampling the data set. Kindly guide me whether my approach is alright or not , if not than how ...
0
votes
0answers
20 views

Classification and convex optimization of the cost function

From the literature I read that For a neural network, the cost function, J(W,b) is a non-convex function, gradient descent is susceptible to local optima; however, in practice gradient descent ...
0
votes
0answers
9 views

Can I create a convolutional neural network with this data?

I have a dataset of 80 CT scan images and want to use a convolutional neural network (conv net) for classification. I was thinking of taking 40 images, augmenting them with 5 degree rotations over 360 ...
0
votes
0answers
9 views

Encog Lunar Lander Extended

This question is with reference to C#'s Lunar Lander Example obtained in Encog repository. As the example suggests, I am using NeuralSimulatedAnnealing to train my multi-layer feedforward network (50 ...
0
votes
0answers
11 views

How to measure accuracy, precision, recall with incomplete information?

Let me give an example. Assuming I have a classification technique for automatically measuring if a part in a car needs repair or not, it is my goal to check my classifier results against the ground ...
0
votes
0answers
5 views

Naive Bayes Bernoulli with more than 2 class labels?

I am a little confused about how to perform Naive Bayes Bernoulli model. In the first link, they split the class labels and the predictors. It is a binary class label here. But what if I do not have a ...
1
vote
0answers
23 views

Cost function: output layer should sum up to roughly 1

I have a convolutional neural network classifying some images for me. The output layer is not one-hot encoded but outputs a distribution around the predicted class (because neighboring classes are ...
0
votes
0answers
22 views

Creating Naive Bayes Model for numerical data in R

I want to calculate the missing value using the NaiveBayes predictor. I am using a dataset with missing values at some rows, ...
3
votes
2answers
79 views

Gradient descent: compute partial derivative of arbitrary cost function by hand or through software?

I'm a software engineer, and I'm working my way through Stanford professor Andrew Ng's online course on machine learning. I'm able to follow most of the math related to gradient descent for linear ...
2
votes
1answer
33 views

Accuracy in neural network for regression

I want to measure the accuracy in neural network that performs regression. I have two outputs. Is the root-mean-square deviation ( RMS wiki) the right way to go? From wikipedia RMSD is a good ...
0
votes
0answers
20 views

Is Deep Neural Networks suitable for Cancer Detection? [on hold]

I am currently working on a project which main topic is to analyze a patient's medical images in order to know if she is affected by Cervical Cancer or not. One image contains 6000 pixels. For each ...
-1
votes
0answers
29 views

Who is most likely to create Artificial General Intellgence first? [on hold]

Is it Jürgen Schmidhuber with his Gödel Machine? If not, please state your reasons
0
votes
0answers
7 views

What is the type of precision in the prior distribution over user's and item's latent factors in PMF?

I am trying to implement the pmf model in stan. paper In this model, there are two prior normal distribution over the latent factors of users and items: $U_i$ ~ $normal(0,\sigma^2I$) And it is said ...
1
vote
1answer
19 views

Categorical with many levels for NN

I have a dataset which lists the amount of seconds a user held a session by browser_type. For example: ...
0
votes
1answer
5 views

Non-biased User Interface for building training set

I want to use machine learning to detect objects of type A among objects of types B-Z. I require human expertise to initially classify these objects as A, B, C... Z. The individuals who can provide ...
0
votes
1answer
21 views

Support Vector Machine: Output simulation from mathematical equations

If I have trained SVM model using the RBF kernel, how do i simulate the SVM output using the trained model and mathematical equations? How do I transform the test data? I am trying to write a code ...
1
vote
1answer
14 views

Learning the joint probability distribution of 3 variables from partial observations

I have a dataset composed of 3 random variables X, Y and Z. However, at each sample one of the random variable remains hidden. As an arbitrary example, the observation 1 is $(x_1,y_1)$, the ...
1
vote
0answers
14 views

Comparing corpuses with different vocabulary?

How can we compare two corpuses with different vocabulary? Basically, we have a bunch of distributions for different vocabularies that we want to compare. But all the vocabularies are different ...
0
votes
0answers
10 views

Almost a multinomial logistic regression

Is there a way to train a multinomial logistic model where the true classification is unknown, but summary information obtained from the true classifications is known? Illustrative Example: 5 ...
0
votes
1answer
17 views

Validation of Support Vector Machine using sklearn

I have made a recording of two different sounds and I want to use an SVM in order to be able to distinct between the two. The process I have followed is: Divided each sound in multiple 20ms frames. ...
0
votes
0answers
7 views

Can you help me to plot the result of support vector machine regression using matlab/libsvm?

Can you help me to find the code that plotting the result of support vector regression using matlab/libsvm using 6 dimension features and 1 predictor variable?
1
vote
0answers
34 views

What is the minimum sample size required to train a Deep Learning model - CNN?

It is true that the sample size depends on the nature of the problem and the architecture implemented. But, on average, what is the typical sample size utilized for training a deep learning framework? ...
5
votes
2answers
61 views

What is energy minimization in machine learning?

I was reading about optimization for an ill-posed problem in computer vision and came across the explanation below about optimization on Wikipedia. What I don't understand is, why do they call this ...
0
votes
0answers
17 views

What is discretization in machine learning? [on hold]

Why do we need discretization? which classifier is needed for discretization?
0
votes
2answers
37 views

What it mean by Training SVM

I am new to image processing. As my project I am doing "image classifier using SVM". I have the idea of my final software "I select some image and give it as input to my software and it will classify ...
0
votes
0answers
30 views

What is the Bernoulli class conditional distribution?

What is the Bernoulli class conditional distribution? I am trying to implement a procedure for computing a naive Bayes classifier for binary features with a Bernoulli class conditional distribution. ...
0
votes
0answers
26 views

Using Deep-Learning for Cancer Detection [on hold]

I am going to work on a project which main topic is to analyze patients' medical images in order to know whether he is affected by cervical cancer or not. The Machine Learning technique which has to ...
0
votes
0answers
16 views

Which machine learning approach/algorithm do I choose for path validation?

I apologize for lack of terminology, I'm no computer scientist. I have a problem of validating paths in a directed graph with complex nodes. The full description is the following: I have a decent ...
0
votes
0answers
11 views

How to implement Vectors in Feature Vector?

Please change the question title if you find a better one for my problem. I have taken some measurements with a 6 DOF (accelerometer and gyro) sensor. Now I want to use this data for a classifier ...
-1
votes
0answers
18 views

SVM file preparation [on hold]

I have a file in which i have comma separated value like this 0.000,17.021,8.511,6.383,4.255,6.383,4.255,2.128,10.638,6.383,0.000,8.511,4.255,0.000,8.511,6.383,4.255,0.000,2.128,0.000 ...
0
votes
0answers
24 views

has anyone tried to use spectrum kernel [duplicate]

Can any one explain me how to use string kernels to quantify the similarity between short texts? thank you. regards
2
votes
1answer
48 views

Meaning of “reconstruction error” in PCA and LDA

I am implementing PCA, LDA, and Naive Bayes, for compression and classification respectively (implementing both an LDA for compression and classification). I have the code written and everything ...
0
votes
1answer
22 views

Computing the Interaction gain. Is there an Error in the infotheo package in R?

In order to implementing a certain feature selection method for a classification problem I need to estimate the the interaction the interaction gain between two features and the target variable which ...
3
votes
0answers
29 views

Is dimensional reduction using Autoencoders possible with a small sample size?

I have a data set that is not too big but high dimensional, let say 10000 dimensional. I want to use an autoencoder to extract relevant features (clusters) in the data. Usually when I have seen ...
0
votes
0answers
26 views

What does make SVM a “soft computing” method?

Soft computing is defined in [1] by the capability of "operating with uncertain, imprecise and incomplete information in a manner that reflects human thinking". So, based on my limited understanding, ...
0
votes
2answers
34 views

Dynamical time warping for dynamical system classification

I am trying to find a way to classify and segment a large set of time series that each individually describe a dynamical system. I wanted to know if the following idea for doing so is a feasible ...
0
votes
0answers
9 views

AdaBoost - How to use the distribution D [closed]

I am trying to implement AdaBoost algorithm in Python. I have m weak classifiers in list called classifiers. I have vector _D ...
-1
votes
1answer
20 views

clustering evaluation for a special case

In my dataset each point comes from one of 3 classes, so the true labels are like [0,1,0,0,0,2,1....]. I have to cluster them in 200 clusters. I want each cluster ...
1
vote
0answers
9 views

Sequence analysis with multiple sequences

I would like to recognize different states in a sequence of multiple vectors. To make it little more clear, here is an example: I have 2 (or more) vectors in a sequence: head position(HP) and eye ...
0
votes
0answers
14 views

Calculate state change probability

I am having telco order management data and need to calculate the probability of each order going through different stages. data is like this: Order No; product_type; time spent in step1; time ...
0
votes
3answers
69 views

Why do we do hypothesis testing on estimates of linear regression?

I was reading about linear regression and what I understood is that once we minimize OLS equation we get the beta parameters. Its just like solving a normal equation to get the unknowns. Then why do ...
1
vote
0answers
20 views

Relation between precision, recall and sample size

I have a large data set for binary classification problem. Now in order to fit model to data I have been trying modeling using various sample size. For each sample size I gets a different precision ...
19
votes
3answers
2k views

In machine learning, why are superscripts used instead of subscripts?

I'm taking Andrew Ng's course on Machine Learning through Coursera. For equations, superscripts are used instead of subscripts. For example, in the following equation $x^{(i)}$ is used instead of ...
0
votes
0answers
15 views

SMOTE algorithm how to select over and under percentage?

I have a highly unbalanced binary dependent variable (i.e. cases of '1' is <5%). I am trying to implement SMOTE algorithm using R DMwR package. I wonder in general, how we determine the parameters ...
0
votes
0answers
39 views

Confused Scikit results

I am doing classification machine learning on a particular dataset on which an SVM model (using Scikit.learn) is giving a Matthew's correlation coefficient (MCC) of ...
0
votes
0answers
16 views

Suggestions for Neural Network Structure for Time-Series prediction with constant covariates

I've been working on a time series prediction problem and wondered if someone has run across a similar problem structure & can make a suggestion on how to structure the training data, network, or ...
1
vote
0answers
44 views

Which machine learning technique is appropriate for my problem?

I'm new in machine learning topics and I've problem in modeling my environment which has multi parameters with different value ranges and a few actions to perform when value of each parameter is not ...
2
votes
0answers
31 views

How to correctly build a training/validation/test?

I have a database that is comprised of 3 sets of data. The first created in office conditions, the second in the same office taken on different day and the third drawn from random images from the ...