# Tagged Questions

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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### Studying fluctuations in time series

I have some time series to analyze. Given the domain the data is coming from - Time series is supposed to have some fluctuations. A regular periodicity might not be present at all in some cases. ...
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### Thomson/Bayesian Bandit Algorithm

I am looking to use the Bayesian Bandits Strategy to find the best arm of a Multi armed bandit. As outlined in the link, the Bayesian algorithm is Sample a random variable $X_b$ from the prior of ...
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### Grouping Combinatorial Optimization

I a have a real world problem for which I need to create an optimization algorithm. I have a set A, and a group of Sets, lets say 500 sets. I need to find the best combination of them to better ...
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### State Of The Art in Algorithm Performance Analysis

I need to write a short state of the art section in my article that is about performance analysis in multiple techniques (algorithms). The thing is that I have no idea on what can I talk about. I've ...
1answer
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### Algorithm: multi label classification

I am a biologist and I have an algorithm question, I asked on stack exchange but was suggested to come here. Also, I have really tried to explain my problem using simple toy data; note that in real ...
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### Decision tree implementation using ID3 algorithm (C# using AFrog.Net)

I am using ID3 algorithm to implement a decision tree and find an output for a given input query. For this I have a past data set and I am trying to implement the application as this code But ...
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### Minimum interval such that $X\%$ of intervals will contain $\ge Y$ events

I have a data set that contains the dates and times of purchases. Say I have one month of data for the purchases. I am looking for the interval of time, say 10 mins / 30 mins / hourly, for which 90% ...
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### Algorithm to maximize variance within classes in two dimensions under constraint

I am working on a problem that has two dimensions, A and B. Within the two dimensions, there are 6,140 unique points. Each point has a cost associated with it. I have a total cost that I cannot ...
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### Common values used for hyperparameter grid search?

When performing a grid search for exploring optimal hyperparameters, what are the typical values, or ranges, that are commonly used for alpha, epsilon, gamma, lambda, C, etc? I'm not focused on a ...
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### How to cluster the data? [duplicate]

I have a data that looks like below and I want to cluster them. What would be the best algorithm to apply for clustering such data. Thanks
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### How to provide a score value to an image based on pattern information in it?

I have a say 30 two-dimensional arrays (to make things simple, although I have a very big data set) which form 30 individual images. Many of these images have similar base structure, but differ in ...
1answer
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### Prediction of vertex scores in a bipartite graphs

I have a bipartite graph with two sets, A and M, of nodes. Every vertex in M has a score associated with it. I have two tasks: To every vertex a in A, I have to assign a score based on the scores of ...
2answers
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### Relationship between categorical factors

I am not sure what this is called in English, but if we have two categorical factors, we can say that one of them (A) is finer than the other (B) if it holds true that if two observations belong to ...
1answer
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### Learning from clicks on Ads [closed]

I need to build an algorithm that predicts the number of clicks a facebook ad would get in the next 7 days. Based on the given requirements, I prepared a dataset consisting of the following ...
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### Which search algo I should use to find simmilar histograms inside my huge database?

I'have a huge database of about 10^8 objects. Every object contains max. 500 words from a dictionary with 50000 words (BoW). An object from my database could look ...
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### References for learning about online random forests

I am new to concepts of random forest. Can someone provide relevant sites where I could get learn more about using random forests to learn incoming data like an online algorithm?
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1answer
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### Best classifier machine-learning model for data with few samples [closed]

What machine-learning algorithm do you use if you have an attribute matrix that was rows = samples and cols = attributes and a target vector that matched the attributes to a specific classifier? ...
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### Which efficient algorithms for calculating marginal counts over a complete dataset

Having a complete dataset over a set of discrete variables, I need to compute the marginal distribution over different subsets of variables (For instance all subsets comprising 3 or less variables). ...
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### Sorting algorithm for comparative judgement

I am doing research using Adaptive Comparative Judgement where I present the user two things and let them choose which one is more difficult for them to understand. For now I am thinking of testing ...
1answer
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### Creating a machine learning algorithm [closed]

I've heard of various different types of machine learning algorithms such as logistic regression, neural networks, naive bayes etc, and I was wondering what goes into creating a machine learning ...
1answer
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### Data Transformation or algorithm for prediction of data between 0 and 1

I am trying to predict a time series where every data point is a percentage value between 0 and 1. Most data points are either 1 and few below 0.5. In such a case what could be suitable data ...
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### TF-IDF for matching 2 titles?

My question can look irrelevant. But I guess, it's better to ask here, rather than on StackOverflow. Let's consume, we have 2 long titles, like: ...
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### Special case of clustering in one dimension

Given an array of positions in an X-axis and each position is associated with a Group. An Example is given below: ...
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### Weighted arithmetic mean's alternative for ranking items

I have a Blog post ranking algorithm which has 5 factors which are considered for calculating final score. I have predefined input range according to which i decide score of a factor. e.g. Factor : ...
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### Database and Data Waehouse design and processing in Big Data

With the growing popularity of Big Data and related tools, I am looking for books that specifically deal with implementing a warehouse in one of Big Data technologies, database and data-warehouse ...
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### Figuring the algorithm / common calculation on a set

I have a column that is size in MM and another that reflects the change in price for said size. I'm trying to figure out the algorithm/common calculation behind these generated numbers so that I would ...
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### Soundness and history of a significance index comparing different computational realizations

When comparing filtering algorithms, for instance, one sometimes tests deterministic clean data, adds realizations of noise, and measures the residual noise, since the clean data is known. A standard ...
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### Fitting a glm in practice

This question will be a little wordy - I'll try to summarize at the end. I'm currently working on a machine learning library and I'm implementing GLMs. To fit my models I've been implementing an ...