Machine learning, a branch of artificial intelligence, is the science of getting computer systems to meaningfully act without being explicitly programmed by human.

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21 views

Reduce time R takes for model building [on hold]

I am building machine learning algorithms in my laptop. It has i3 processor and 16 GB RAM. Despite using multiple cores (3 out of 4), it takes 2 days to run all the techniques that I am trying to run ...
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2answers
33 views

How are the outcomes that generated from different predictive models combined to get more accurate predictions?

The simple average is commonly used to combine the predictions out of different predictive models. Apart form the simple average, what are the other methods that can be used for combining the ...
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0answers
25 views

Could the non-separable data become more separable by using any method of feature selection, extraction or transfomatio, or it's just a waste of time?

Could these meteorological dataset (in the figure below) be separable by any means of feature extraction, transformation, or it would be just a waste of time to make the three classes separable if ...
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0answers
35 views

How to make the following data separable for the classification into three classes?

The figure below shows the PCA projections of inputs which are 14 meteorological features, (i.e. wind, temperature, humidity, pressure, and so on.) I would like to use any technique to make it more ...
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0answers
150 views

Why am I not seeing faster neural network training after upgrading to a vastly better GPU?

I was previously running my neural networks using the Lasagne library to build and train neural networks in Theano on an NVIDIA GTX 750 Ti. I'm using a genetic algorithm to tune the hyperparameters of ...
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1answer
20 views

What is the Best and easiest way to create a Classifer for Sentiment Analysis

Sentiment analysis using Machine Learning is a hot topic. Which is the best classifier to use based on the amount of training data available?
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0answers
16 views

Feature vectors for infinite discrete distribution of points on 3D space [duplicate]

Is there any standard procedure (building feature vectors) that could be used to build machine learning models based on discrete and infinite point distributions on a hyperplane (practically 2D 3D), ...
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0answers
65 views

computational feature vector for physical periodic system

The question is motivated from a physics problem: Let's first discuss the 1D infinitely long discrete system on a lattice, a system can look like: system 1: ...(ABAC)(ABAC)(ABAC)... this leads to ...
4
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0answers
31 views

Calculus of Variations with unknown cost function but some data

I have a problem that I've framed out in a particular way, but I don't know if I'm re-inventing the wheel here. Is there an existing literature base in this problem? Does it have a corresponding term ...
4
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1answer
109 views

Open source tool comparable to MATLAB Neural Network Tool Box?

Background I am a graduate student and a researcher. I do not like to rely on commercial products due to cost and also because I feel more comfortable in using and extending existing tools based on ...
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0answers
43 views

Markov (Chain) image generators?

Markov Chains can be used to generate, or auto-complete, text. https://en.wikipedia.org/wiki/Markov_chain#Markov_text_generators Training text is read, and some information about the text is ...
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0answers
20 views

How to find active region in treepartition Matlab object

I am trying to identify a non-linear plant using the identification toolbox of Matlab. In particular I would like to identify a non-linear arx model, where the nonlinearities are expressed by means ...
3
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1answer
87 views

Using kalman filter when samples don't have time index

Assume $X$ and $N$ are two sets of observations from two different normal distribution, where $X$ represents clean data and $N$ represents noise; and $A$ a projection matrix of a filter and the ...
7
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2answers
185 views

Learning parameters of noise and filter coefficients from data where data and noise both have Gaussian distributions

Assume $X$ and $N$ are two sets of vectors (observations) from two different normal distributions, where $X$ represents clean data and $N$ represents noise; and $A$ a projection matrix of a filter. ...
3
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0answers
54 views

scipy.linalg.sparse.eigsh does not work for generalised eigenvalues

I asked this question over at StackOverflow and someone told me that I'd get a better answer here. So here's my problem: I'm working on a machine learning project which involves doing a Principal ...
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0answers
64 views

How to build a regression tree in C++

I want to build a random forest that estimates facial landmarks. A random forest is a set of regression trees, built in a certain way. The problem is that I am new to machine learning, yes I ...
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0answers
18 views

Natural Language Processing: Semantic annotations from free-form text

Much of the NLP work still seems to be concentrating on `bag of words' style approaches. Are there mainstream NLP toolkits which perform a `complete' extraction of semantic information, e.g.: ...
3
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1answer
214 views

Are there tasks in machine learning which require double precision floating points?

Double-precision calculations are significantly slower or more expensive than single-precision calculations. For example, the NVidia Tesla which performs well on doubles is much more expensive then ...
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0answers
30 views

Detecting label errors using a classifier in scene labeling

I have a classifier for two classes that was trained in a convolutional neural network using cuda-convnet. Input are hand-labeled greyscale images, it is part of a scene-labeling project. What I'm ...
5
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1answer
69 views

How to train a model to classify object trajectories?

I have a tracker that outputs the trajectory $(x,y,z)$ of an object (e.g., a can). I want to use these trajectories to train a classifier (i.e., SVM) in order to infer the activity that the person ...
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1answer
79 views

Correct weights Neural Network

I'm trying to make a neural network using MATLAB. But I'm finding that many problems do not get solved. These are the formulas on which I based: $$ Layers\ in\ Neural\ Network = [0, ..., i, ..., out] ...
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2answers
915 views

Use of machine learning in computational fluid dynamics

Background: I have only built one working numeric solution to 2d Navier-Stokes, for a course. It was solution for lid-driven cavity flow. The course, however, discussed a number of schema for ...
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1answer
33 views

Interpolation of Data Value using Optimized Weighting of Its Features

Assume I have a data set $ { \left\{ {x}_{i} \right\} }_{i = 1}^{N} $ which represents the value of each data point. For each data we have its features $ {f}_{i} \in {\mathbb{R}}^{d} $. The model I ...
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0answers
63 views

Fitting high frequency trading model

I have a high frequency time series of the bid and ask prices of a stock recorded on every tick. For each data point I also have a certain indicators that predict the future movement of the price. The ...
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1answer
43 views

Feedforward net lagged prediction

I am trying to predict y(t+1) of a function by using a feedforward neural network with Matlab. The inputs are the previous 3 previous values (y(t-2), y(t-1), y(t)) and the training output is the ...
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0answers
28 views

What are outlier detection measures which can be used as a part of an optimization problem?

I have an optimization problem. I have to optimize some coefficient in the problem based on non-outlyingness. I need some measure of non-outlyingness which changes with respect to current classifier. ...
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31 views

What library can you use to detect personalities from comments?

I have a bunch of comments from my website that I want to use to build a profile of someone's personality based on the topics they chose to write in and the their specific comments. I know that this ...
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1answer
46 views

Algorithms for searching in high-dimensional binary data spaces

Is there any algorithm that can learn/search efficiently the best sequence of 1's and 0's of length $n$ to fulfill certain performance? The search is performed in a high-dimensional binary data space. ...
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0answers
56 views

approximation of nonlinear time-dependent system with history

I have two time-dependent coupled equations. One of which is several orders of magnitude more computationally demanding than the other. I am trying to use machine learning to reproduce the behavior of ...
4
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4answers
792 views

Seeking a free symbolic regression software

Now that Formulize / Eureqa started charging $2500 a year for using it and having crippled the trial version, does anyone know of any replacements that can do similar things like find an equation ...
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1answer
76 views

Neural Network - single layer perceptron for multiple classes

For activation function in neural network, I have used the function $$\frac{1}{2}(\sin x +1) \enspace .$$ But this will give me the value of either 1 or 0, allowing me to classify only 2 classes. ...
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3answers
171 views

Algorithm: Extracting motion frequency from video

I was wondering if anyone knows of any algorithms or projects that can detect the frequency of a motion from a video clip. Like if I had a video of a bouncing ball with constant frequency, could an ...
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0answers
39 views

Determine function parameters with neural network

I am currently studying a doctoral thesis in control theory. At the end of every chapter there is a simulation of a relative-with-the-subject problem. I have finished the theory,but for further ...
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1answer
2k views

How to detect smiles using OpenCV and IntraFace?

I have installed OpenCV and IntraFace, now the code can detect landmarks on the face, like this : Now how can I convert this to a smile detector? I have the landmark points as an array, so I ...
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2answers
59 views

Neural Networks: what's the point of learning features that don't linearly separate?

Unless I'm mistaken, deep neural networks are good for learning functions that are nonlinear in the input. In such cases, the input set is linearly inseparable, so the optimisation problem that ...
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1answer
62 views

SVM Math Question

I'm studying support vector machines and came across this paper. The following equation doesn't make sense to me, especially the part with the 0 ∀i. Any help understanding the basics of SVMs? yi * (...
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1answer
202 views

How could I implement this neural network in R? [closed]

In Establishing, versus maintaining, brain function: a neurocomputational model of cortical reorganisation after injury to the immature brain, Varier et al develop a neural network model of motor ...
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1answer
413 views

A Filter is Sum normalized to 0 and square normalized to 1

Firstly, About the Hierarchical Model And X (HMAX model), i still don't understand what is the difference between the "Original model" and "Standard model". Does in Standard, we use imfilter not conv2 ...
5
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1answer
143 views

Support Vector Machines as Neural Nets?

This is more of a conceptual question. I have learned about Neural Nets, and I have some clue as to how Support Vector Machines work. I read somewhere however that given the appropriate kernel (is ...
2
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0answers
1k views

What is average pooling

I was reading an article where they have a set of pages. For every page they extract a feature vector of dimention 300. Then they fuse these vectors into one vector by using a method called average ...
5
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2answers
97 views

Books/Resources on Sparse Optimization?

I'm looking to learn more about Sparse Optimization and apply it to machine learning problems. Could you please recommend some books/resources on this topic? Both theoretical and applied are fine.
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1answer
60 views

Extract clusters from a graph of absolute-distance edge

I don't know if I have formulated this problem right: I have tons of items and the distances between each pair of them. Feeding this data into some visualization tool, I am able to create a nice ...
3
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1answer
898 views

How to train an L2-regularized L1 Hinge Loss SVM using vowpal wabbit?

I'm trying to train an L2-regularized L1-hinge loss SVM using vowpal-wabbit. I use the following commands to train and test on the splice dataset: ...
7
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2answers
710 views

Do RBF kernel matrices tend to be ill-conditioned?

I use RBF kernel function to implement one kernel based machine learning algorithm(KLPP), the resulting kernel matrix $K$ $$K(i,j)= \exp\left({\frac{-(x_{i}-x_{j})^2}{ \sigma_{m}^2}}\right)$$ is ...
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1answer
45 views

a question about kernelized locality preserving projections

kernel LPP is of form: $$\min_{\alpha} \ \alpha^{T}KLK\alpha \\ s.t. \ \alpha^{T}KDK\alpha = 1$$ and it eventually results in solving generalized eigenvalue problem below: $$KLK \alpha= \lambda KDK \...
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0answers
40 views

How do I implement a custom kernel in scikit GP?

http://scikit-learn.org/0.13/modules/gaussian_process.html#correlation-models I'd like to write a kernel. How can I do that?
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1answer
117 views

How to setup a Neural Network?

I have a completely beginner question about the setup of artificial neural networks. Basically it boils down to: How do I put in data and get results? For example, classification: let say I have ...
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1answer
61 views

Confusion related to svm optimization

I was reading thispaper related to kernel SVM. It states Support Vector Machine (SVM) (Cortes and Vap- nik, 1995) as the state-of-the-art classification algo- rithm has been widely applied in ...
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0answers
71 views

How to create synthetic data from known weights

I'm doing some machine learning where I have lots of data and through optimization I'm trying to learn the weights for the model. I'd like to check that my learning actually works correctly. For that ...
0
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1answer
53 views

Confusion related to convexity of a problem

I was reading this paper related to Multiclass Classification with Multi-Prototype Support Vector Machines - paper However, I am having difficulty in understanding why they have mentioned the ...