An algorithm is a a set of one or more computations that will produce a calculated result. All statistics methods are algorithms. Algorithms can be simple, such as calculating a percentage, or can be very complex and require a computer for fast and accurate results.

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Budget scoring algorithm

I'm working on a free budgeting app that needs to calculate a few summary scores on the data entered. This is for personal budgeting so no need for enterprise size complexity. I have not done any ...
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MART and GIS within maximum entropy

What is the difference between Multiplicative Algebraic Reconstruction Technique (MART) and Generalized Iterative Scaling (GIS) for solving maximum entropy problems? They both seem quite similar. Is ...
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R. Change som data points (In one column I want to change all the 0's to1) [closed]

I have a dataset in R. In one column I want to change all the 0's to 1. How do I do that. Some kind of 'if' loop I suppose?
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23 views

Algorithm to determine a point in time series data, after which probability of increase in value is very low

I am working with dataset which contains number of movie tickets sold per day. This is basically a count of total number of tickets sold, for a particular movie, for each day after its release date. I ...
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31 views

For a U-shaped distribution, how many results must I verify

--edit-- in plain English. I have a distribution with over a million points between 0 and 1 that is shaped like a U with many values falling near 0 and 1. Each point is SUPPOSED to represent a score ...
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31 views

How do I get initial transition matrix probabilities?

I have to develop a system to detect and prevent bank transactions fraud - just credit card transactions, for simplicity - I'm thinking about using markov chain. How would I get the initial ...
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30 views

Sensor fault detection algorithm explanation

I am attempting to implement a sensor fault detection algorithm from a white paper I found here: http://www.hindawi.com/journals/mpe/2013/712028/ref/ You should not have to read the article to ...
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15 views

Estimating the effect of wrong input parameters in a model estimation

I've got a physical system that detect counts in an array of detectors. In each detector $y_i$ I expect to measure $\bar y_i = f_i(\bar \lambda)+\bar b_i$ counts. $b$ represent the vector of of counts ...
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2answers
66 views

Customization of a standard Bell Curve

Hopefully this isn't a duplicate, I've tried to search for similar things, but to no luck. I'm curious on how you would computationally compute a random distribution of numbers that follows a bell ...
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12 views

Optimizing Graph to show areas of improvement

I have a data set that looks like below Bucket: 60-65%, 65-70%, 70-75%...... Days: 22 55 21 Bucket is a % performance and days is the number of days ...
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1answer
45 views

Optimization with both L1 and L2 regularization

After doing some research I suppose the hard part is that, L2 regularized problem is often solved by gradient descent, while L1 regularized problem is often solved by coordinate descent. But which ...
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20 views

General Levenberg-Marquardt Algorithm for training LeNet-5 (CNN)?

During studying Levenberg-Marquardt Algorithm for training Neural Networks I have found that for training MLP networks a General Levenberg-Marquardt Algorithm is used, but if we need to train a ...
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23 views

What algorithm could be used to recommend wine given past ratings

Description: given a user's history of 'likes', I would like to predict what product should I recommend to the user, based on past likes (content based). The idea is very similar to Pandora, except ...
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28 views

How to develop probability formula?

I am trying to come up with an approximate formula for the failure probability of an event which can be caused by four independent things. I have a lot of measured data (100's of rows) of failure ...
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29 views

How to understand the result of label propagation algorithm

The graph is an undirected graph, “Protein 4","Protein 5", "Protein 6",... represents the vertex of graph. The value of two vertices with connected is 1 and that without connected is 0 in the ...
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1answer
38 views

Understanding The Algorithms Behind Quantile() in R

So I was trying to compute the quantiles from a dataset in R: c(3,5,7,8,12,13,14,18,21) using the quantile() function, and I realised that it was returning ...
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2answers
55 views

What algorithm should I try to predict number of tweets

Background I have been collecting data of each tweet being sent out for each article. The data is like this. created_at, user_id, article_id xxx, x, x y, y, y ...
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1answer
23 views

Can I run several independent samples test to compare two stochastic algorithms?

I want to compare performance of two stochastic optimization algorithms: A1 and A2. Performance is defined as the output of a run. The lower the output is, the better is the solution the algorithm ...
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1answer
20 views

how to find the nearest neighbor of a sparse vector

I have about 500 vectors,each vector is a 1500-dimension vector, and almost every vector is very sparse-- I mean only about 30-70 dimension of the vector is not 0。 Now, the problom is that here is a ...
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12 views

How do I find percentage average events acceleration?

We fire an event every time a user clicks something on a page and I would like to find the acceleration or event average acceleration so we could send an alert when the threshold is met. This is the ...
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10 views

Estimating the search space for a hand of Spades

I am wondering if it is possible to estimate how many possible permutations there are for a given hand of Spades (or maybe an average hand in general). Spades is played with 4 players and each player ...
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30 views

Algorithm: Binary search when values are uncertain

I need an algorithm to do a binary search when the test at each step may give the wrong result. Background: I need to place students on the most appropriate of 12 difficulty levels. The current ...
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12 views

Confidence Estimate in classification (or regression)

I am using the sklearn SVC algorithm in the context of a time series, classifying the next time step as either being a positive increase or a negative increase. My SVC is, right now, predicting the ...
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9 views

generalized regression of expected values in classification problem?

I am working on a classification model to report the probability that, given a new vector of conditions, predicts the probability of Y being true. X is a 300 x 250,000 matrix of numerical and ...
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12 views

How to find deviations in a signal?

I have a sinusoidal wave data with a noise in it. I know the details of the sinusoidal wave (Amplitude, frequency, Phase, bias). I am trying to find out the exact time and the duration for which the ...
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9 views

Nodes placement in knowledge map of Khan Academy

I have been through the Khan Academy blog regarding construction of knowledge map. However after going through it, it left me confused regarding how are they placing the nodes (hierarchically) and ...
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60 views

How does NIPALS algorithm work?

I'm working on NIPALS algorithm and I found this procedure from here: I'm just confused with the 4th step which stated, "using the $k$th scores, re-estimate the eigenvalues". As I understand, ...
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20 views

Finding a set of 3 parameters that maximises a value

I have multiple CSV files of the format below, where the first three columns are parameters to a system and the final column (15) contains a normalized accuracy. I need to find the set of three ...
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10 views

First step of Kernal Ridge Regression? [duplicate]

I want to implement kernel ridge regression (KRR) using a polynomial kernel as a function that takes the training objects, training labels and test objects as arguments, and outputs the vector of ...
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29 views

Adaptive Group Lasso

Is there any code/algorithm (preferrably for MatLab, but R is fine) where I can easily implement the Adapative Group Lasso as in here. I have found algorithms to implement the group lasso with a ...
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37 views

Algorithm for statistical analysis

Is there any publication in which there is an algorithm-like explanation of which analysis to use. Depending on data, variable and what one wants to do, there will be a chart showing the required ...
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10 views

Gaussian Environment

The perceptron bears a certain relationship to a classical pattern classifier known as the Bayes classifier. When the environment is Gaussian, the Bayes classifier reduces to a linear ...
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10 views

Why not select the greedy arm in each round as compared to that of epsilon greedy algorithm?

Why do we select with probability (1-e) the greedy arm and probability e in epsilon-greedy algorithm? I mean why not we just select the greedy arm with probability of 1 in each round such that we will ...
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47 views

Which model for this information extraction problem?

I am trying to solve the following pattern recognition / information extraction problem. Assume I have a text where each token has been annotated by a single class among $K$ classes available (with a ...
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10 views

How to create a simple author rank for bloggers

We have a blog site, with various authors, and I'd like to create an algorithm to rank them. Some of the variables we can use are: Total views (hits across all authors blog posts) Number of blogs ...
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1answer
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How does the ID3 Algorithm handle branching?

I'm a Computer Science student trying to implement the ID3 Algorithm and some of it isn't clear to me. The way I understand it, the ID3 algorithm involves building a (decision) tree by selecting an ...
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1answer
17 views

Scalability comparison with the help of regression

I created an algorithm and I tested it against a current algorithm. The results are in this form: ...
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1answer
20 views

Algorithm to find centroid of historical datapoints without storing historical data

Is there an online learning algorithm for clustering that doesn't require storing historical data?
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20 views

Why does original paper introducing DBSCAN state it takes only one input parameter?

I am reading about the DBSCAN clustering algorithm from the original paper by Ester et al. In this paper, the authors state in the abstract, the introduction, and the conclusion that their algorithm ...
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1answer
42 views

Find repeated attribute patterns in collection of objects

I have objects $o_1,...,o_k$where every object has a set of properties $p_1,...,p_j$. I'm looking for property patterns that are repeated among these objects. It could be perhaps called correlation of ...
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27 views

What is an appropiate machine learning algorithm for my problem?

I was having an idea for a software, which would make use of machine learning, and I started to code it. I got stuck at selecting the algorithm, since I'm not familiar with this field. My use-case ...
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15 views

Classifying datasets on the basis of existing datasets with R

I am new to R and programming. I am working with large datasets and I would like to generate a model, that allows me to classify a whole dataset on the basis of training data. My objective here is to ...
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20 views

Randomized algorithm to predict in constant time matrix's content

Original post from which I copy: http://cstheory.stackexchange.com/questions/32958/randomized-algorithm-to-predict-in-constant-time-matrixs-content An algorithmic - probabilistic problem I try to ...
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30 views

Credit Card Fraud Detection based on ATM Location

I am developing a system to detect fraud when credit card used on an ATM. I am having trouble as to how I should use location of ATMs as a feature to detect fraud. This is what I have done so far : ...
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1answer
358 views

Which optimization algorithm is used in glm function in R?

One can perform a logit regression in R using such code: ...
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40 views

KODAMA algorithm

Came across this KODAMA algorithm that makes some pretty bold claims. I find the whole process hard to follow, as anyone looked at it/tried it? Isn't maximization of Cross-Validation accuracy ...
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1answer
50 views

Books for statistical computing course?

I'm taking an introductory graduate course in statistical programming. I usually like to read textbooks along with my coursework, but the professor doesn't have any suggestions for books matching the ...
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88 views

Speed, computational expenses of PCA, LASSO, elastic net

I am trying to compare computational complexity / estimation speed of three groups of methods for linear regression as distinguished in Hastie et al. "Elements of Statistical Learning" (2nd ed.), ...
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2answers
137 views

when to use apriori vs eclat association rules in R

actually I have to extract from my data the frequent pattern in R. The first algorithm I have used is apriori but reading some articles I have seen that also ...
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11 views

Different ways of testing algorithm which uses huge data

I have an algorithm which uses huge set of dynamic data to compute the output. As it is dynamic data and output is calculated using huge set of data, I have no idea what the exact output is. But I ...