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1 answer
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Dimension Reduction - Which feature should remove to reduce the dimension of the matrix

Let's suppose that we have the following 2 tables: If we want to reduce the dimension by one(in every table) which feature we should remove and why ? I am confused about the way that i should work ...
Emily Serone's user avatar
4 votes
1 answer
274 views

Finding (and possibly extracting) source code in heterogenous text data set

I'm looking for a way to recognize and possibly extract source code from text files that may contain only source code, source code mixed with plain text or just plain text without any source code. ...
Marv's user avatar
  • 143
1 vote
0 answers
41 views

Outline detection from patterns in a list of textual articles

Are there NLP algorithms dealing with detecting the repeating patterns in a a list of texts from which a topic keywords and other associative keywords can be derived? I will show it as an example: ...
xralf's user avatar
  • 111
2 votes
0 answers
92 views

Indoor path prediction with machine learning and pattern matching

Ok. You'll have to bear with me because I'm new to this. I have an idea for a research project. It involves trying to predict a path that someone might take in an indoor environment. My idea is to use ...
Nix's user avatar
  • 21
1 vote
1 answer
72 views

Find string patterns preferably in regex for string streams

I am trying to classify the data in a database columns. DB has about 90 million entries.The main goal is to find different patterns in columns to leverage it for create look alike data. The data ...
rohit's user avatar
  • 121
8 votes
1 answer
12k views

Machine Learning: Identify Patterns in Time-Series Data

I work in renewable energy. My company gathers a lot of data from equipment. This typically includes process data (such as transformer temperature, line voltages, currents, etc.) and discrete alarms (...
theoneandonly2's user avatar
1 vote
1 answer
1k views

How to identify labels in unsupervised learning?

Let's say I am working on handwritten digit recognition (0 to 9). I know for instance that if I use clustering then I need to look for 10 clusters. But once I have the 10 clusters,how do I identify ...
user3676846's user avatar
-1 votes
1 answer
730 views

Training Error & Convergence to True Error

I Take some online class for Machine Learning. one of teacher say this sentence. if we have m data points, the training error converges to the true error as m → ∞. i thought, this sentence not ...
Ebraham's user avatar
  • 35
0 votes
1 answer
7k views

VC Dimension Calculation for Intervals

As i See in ML Course a VC dimension calculation is very theoretical. What is the VC-dimension of intervals in R? The target function is specifieed by an interval, and labels any example positive ...
Ebraham's user avatar
  • 35
-1 votes
1 answer
82 views

Policy function π in Reinforcement learning unclear

I have one question about policy function in Reinforcement learning. in fact this function indicates which action should be done in each state? Or this function indicate for get the ...
user17973's user avatar