# Tagged Questions

relates to algorithms that are "trained" by some data set.

180 views

### Clustering algorithm based on distance

So, I have a packaging center A. And I have n points scattered around A. Let's call them i1, i2 ... in. I have a maximum distance threshold, called D. My task is to break those n points into groups ...
42 views

### Rotation logic for MNIST Handwritten Digit Dataset

I am currently applying some pre-processing to this dataset. Some of the digits are extremely rotated and I would like to know how others managed to get them 'upright'. I have implemented something ...
124 views

### Predicting package delivery schedules

I'm trying to solve the following problem: A delivery man has N packages to deliver, already sorted. He starts the route at start_time, he works until end_time. I have historical data of his ...
113 views

### How do I visualise the feature space partitioning in random forest?

I am learning about random forest and found this video https://www.youtube.com/watch?v=gdnIqGbqiYs&list=UUb9svouAi1XHRqlOs8LXbBg very useful. The first 8 minutes explain how to visualise how the ...
39 views

### How to use event weights in TMVA ROOT

I'm trying to train and perform classifiers from TMVA. My data set contains event weights besides event data. In the TMVA::Factory there's a method setWeightExpression to specify event weights. What ...
32 views

### How do you feed sets of connected data elements to an artificial neural network?

I'm currently working on a neural network to try to predict movements of electricity prices in a big city with multiple power companies to choose from. I know from a friend in the industry that power ...
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### Create unique buckets for stream of entities based on constraints on the entity attributes

I have stream (magnitude 10s of millions) of entities, say Item which is modeled as below: class Item { String id; Double price; Double profitPercentage; Country originCountry; Country ...
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### How is the event model of multinomial naive bayes algorithm right

The event model of multinomial NB is this: P(x1, x2...Xm | y=k) = P(x1 | =k) * P(x2 | y=k) * ...* P(xm | y=k), where x is i'th word in the document. Then we apply it to bag of words model. P = P(x1 |...
204 views

### Neural network converges to 0.5 for XoR

I'm coding a neural network in C for an OCR project. Before testing with character recognition, I'm making it learn the XoR operation. Although, the results I'n getting always converges to 0.5 instead ...
120 views

### Algorithm to analyse and predict

I'm having a set of data's, say Question, Question's Main Category,Main Category followers, Question's Related Categories,Each Related Categories followers, Whether it got answer in 24hrs [Yes/No] ...
17 views

### Library for finding rules (based upon correlations) between columns in a database

I have a database table with 100.000 rows. One column contains transaction texts from bank statements like: "Paid Google Adwords for July invoice 4343434" while another one contains a manual ...
32 views

### Is sparsity parameter really useful?

To make a sparse autoencoder,one way is add something to the function we want to minimize,which the further do average activity of hidden units to a sparsity parameter,the bigger your added thing will ...
41 views

### What algorithm to use for a specific 'Named Entity Recognition'/'Information extraction' problem

I am trying to write a model that will extract certain details from financial documents. It must be able to extract the; contract start date, contract duration, contract value and all named entities. ...
29 views

### How can word lists be used as supervised data in finding the score of the report?

We have got historical reports and we need to find the score (whether report is effective or useful or not) based on supervised learning. While doing the supervised learning process, we have to ...
89 views

### Decision making algorithm

I'm currently solving an optimisation problem of my own design, just to experiment and learn a little something. Here's the concept: I have a user that starts at home. The objective of this user is ...