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

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3
votes
2answers
183 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 ...
2
votes
2answers
190 views

Why do convolutional neural networks use so much memory?

I heard that one of the main problems applying neural style to high resolution images is the huge amount of memory that would use. Also I just configured a network using tiny-cnn This is my ...
0
votes
0answers
18 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 ...
0
votes
4answers
332 views

Machine learning without programming?

I am old to programming and very beginner to Machine Learning and what make me surprise is the defination as i typed in google i found this. Machine learning is a type of artificial intelligence (...
3
votes
1answer
216 views

Tasks incorrectly categorized with online text classifiers

Context: Finding company to do the job The use case of an application I want to write is that a user will describe a task to be performed by some company, e.g., I want to move 10 boxes (...
0
votes
0answers
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. ...
2
votes
2answers
123 views

Dynamic gesture recognition with fingertip points

I have built a fairly robust program in c++ which tracks several points on a hand. It accurately quantifies the size of the palm, the center of the palm, and the fingertip locations among other hand ...
6
votes
1answer
600 views

Using grammars to extract bibliographic citations

My task lays in the area of text mining / labelling, more particular extraction of bibliographic citations (references) from the plain text, as shown here: Basically, for the input text the ...
1
vote
0answers
33 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 ...
2
votes
1answer
187 views

Getting started with machine learning a zero sum game?

I have a simple zero sum, discrete, deterministic, complete information board game. I want to machine learn an evaluation function for an AI agent. Suppose each board state has ~20 identifiable ...
2
votes
0answers
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 ...
2
votes
1answer
72 views

Vector input for Artificial Neural Network?

My problem is fairly complex, so here is a similar, simplified example. Let's say you wanted to predict the Miles Per Gallon (fuel consumption) of a car, based on the following information: you have ...
1
vote
0answers
24 views

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 ...
0
votes
0answers
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 ...
1
vote
1answer
98 views

What type of “spam filter” algorithm will tokenize characters for non-exact matches?

I was having a look at a basic example of spam filtering using a logistic regression algorithm and an answer posted on this Stack Overflow question: http://stackoverflow.com/questions/29291263/mllib-...
0
votes
0answers
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 ...
0
votes
0answers
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 ...
1
vote
1answer
69 views

How supervised or unsupervised machine learning algorithms get better over new datasets

Using this Coursera's course about machine learning, I learned some things about supervised and unsupervised algorithms. And from Wikipedia I've read that machine learning is "to get better ...
6
votes
1answer
189 views

quantitatively comparing AST shapes

How could one compare the shape of abstract syntax trees of similar source code programs (C, C++, Go, or anything compiled with GCC...)? I guess that plagiarism detection on source code would use ...
0
votes
0answers
22 views

What are some ways to go about automatically categorizing calendar data?

I'm working on an application that takes as input your calendar data (i.e. the event titles like "Lunch with Barney" and their respective times), and automatically assigns each of them to a category ...
0
votes
2answers
2k views

Why does this evaluation function work in a connect four game in java

I am exploring how a Minimax algorithm can be used in a connect four game. I was looking through a program and found this evaluation function. private static int[][] evaluationTable = {{3, 4, 5, 7, ...
2
votes
0answers
125 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 ...
5
votes
1answer
162 views

Algorithm for predicting outcome based on parameters

I've never done anything with statistics, so I'm unsure of how to start with this problem that I need to solve for some software that I'm working on. Basically, there are three parameters An ...
3
votes
1answer
104 views

How can you write an activation function in a neural network to handle a layer architecture of arbitrary dimensions?

I am making a neural network in Clojure that can take an array of integers,and return a data structure representing the layers of a neural network: so (make-layers [1 4 5]) would evaluate to: [[0] ...
2
votes
1answer
84 views

To what values should you initialize the neurons and connection strengths in a neural network?

The values of all of the neurons in my neural network are initialized to 0 and the connection strengths between the neurons are set to randomly generated floats, between 0 and 1. I have seen other ...
4
votes
2answers
339 views

Can symbolic AI 'learn' a data model?

Perceptrons, a simple form of supervised machine learning, must be trained with a set of known good inputs before they can "learn" by adjusting internal weights assigned to inputs, based on the ...
3
votes
1answer
79 views

Reward discounting in reinforcement learning

I've been reading the Sutton and Barto book and following David Silver's lectures on youtube. The basic principles make a lot of sense to me and I've been building a maze (an arbitrary grid where the ...
1
vote
1answer
430 views

What does it mean for an algorithm to converge?

I keep coming across this term when reading about reinforcement learning, for example in this sentence: If the problem is modelled with care, some Reinforcement Learning algorithms can converge to ...
0
votes
0answers
78 views

Will this data mining approach work? Is it a good idea?

I need to extract fields like the document number, date, and invoice amount from a bunch of .csv files, which I believe are referred to as "unstructured text." I have some labeled input files and will ...
1
vote
1answer
139 views

Efficiently extracting data from pdf with a template system?

basically allow a user to label specific text in a pdf file. Use the label information to create a template, which a script uses to extract text from specific pdf. What would be a good pattern to use ...
60
votes
5answers
97k views

R vs Python for data analysis [closed]

I have been programming for about a year and I am really interested in data analysis and machine learning. I am taking part in a couple of online courses and am reading a couple of books. Everything ...
3
votes
1answer
427 views

Watson Information Encoding [closed]

IBM's Watson has a lot of book information encoded into a 'database' that Watson searches in real time. Does anyone know how that information is coded? It seems hard to imagine how humans could type ...
1
vote
0answers
70 views

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 |...
3
votes
1answer
195 views

How to access large amounts of data for machine learning in a microservices architecture

Imagine you are building a product recommendation algorithm for an eccommerce application which is built as a microservices architecture, this architecture having separate services for users and ...
1
vote
1answer
137 views

Recommending new products using k-means clusters?

I'm trying to figure out the best way to recommend images based on past classifications using k-means clusters. What I have done is mapped the RGB values of a set of images, performed a k-means ...
1
vote
1answer
394 views

Generate algorithm to solve peg solitaire

I know that with regression it is possible to generate a mathematical function based on experimental data. I was wondering, maybe there is a way to generate something more complex. I have a single ...
1
vote
0answers
206 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 ...
1
vote
1answer
264 views

How can I apply machine learning to automated melody generation? [closed]

I've been working for a while on an app that makes up melodies. Each melody is composed of several phrases (musical sentences, or 'sub-melodies'). Now, I want to improve on this: The user can press ...
10
votes
5answers
3k views

Is it imaginable to teach a machine how to program itself to a defined specification? [closed]

A friend of mine without programming knowledge asked me this question and I found it interesting. I think it is not possible because it would require a really advanced artificial intelligence ...
136
votes
14answers
8k views

Simple method for reliably detecting code in text?

GMail has this feature where it will warn you if you try to send an email that it thinks might have an attachment. Because GMail detected the string see the attached in the email, but no actual ...
2
votes
0answers
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 ...
0
votes
2answers
190 views

How could an expert system get some meaning from a sentence? [closed]

How could an expert system tell following scenarios apart? How could we include some meaning of a sentence, if at all? A machine needs 1 day to produce x units, and, we know that two machines like ...
1
vote
1answer
72 views

Is this a good task for machine learning - grouping pieces of DNA based on sequence?

Say I have a list of 50 DNA sequences all of the same length (6, 8 or 16 bps/ chars). I want to group these to sets of say 5 or 6 sequences per set. I have some criteria that need to be met based ...
2
votes
1answer
211 views

Random forest ML algorithm suitable for use on cluster based HPC?

I need help in identifying a better algorithm. I have developed a script using pythons scipy package to analyse a rather large model that I wish to solve. The model contains over 12GB of data ...
2
votes
0answers
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 ...
1
vote
1answer
154 views

Is it possible to get probabilities from a support vector machine?

From what I understand, SVM's take a discrete number of x and y values from which to learn from, then when given new x values map it to one y value (category). Is it possible to use SVM's or something ...
4
votes
2answers
139 views

Can I use machine learning for screening experimental data?

I am a experimental physicist. In our research, we have our experimental data in a 400*400*400 matrix(x, y, z axis of a 3d space), each entry is associated with a value("brightness"). We expect the ...
4
votes
4answers
856 views

Implementing a machine learning algorithm to detect the region of an address

I have 10,000 addresses from a city, which all have a region field in the database. When a new address is entered, then I want my software to automatically detect the region of the address . I think ...
0
votes
1answer
113 views

Looking for a specific type of artificial intelligence

I am looking to create a challenging AI project. There is an online card game that allows you to build a deck to play with out of randomly presented cards. You have to choose one each time out of a ...
11
votes
9answers
941 views

Learning the rules of chess

A similar question asks whether a computer can learn to play optimally in chess by analyzing thousands of games. If a machine can look at the state of the board for a few games of chess (or a few ...