Questions tagged [sequence]
The sequence tag has no usage guidance.
120
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Next events prediction based on previous events
I have data set of sequences of user executed commands sorted in the order of its occurrence. The data looks like this.
...
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6
votes
2
answers
17k
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Sequence data vs time series data
What is the difference between sequence data and time series data?
My understanding is that sequence data is any data where the order matters and time series is a special type of sequence data ...
- 169
1
vote
1
answer
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Are there any python libraries for sequences clustering?
I have a problem which I explained in other question. I've understood that my dataset is a sequence of states or something like that. Is there libraries to analyze sequence with python? And is it ...
- 23
2
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0
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478
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k- means clustering on Markov chain trasition probability
I have data set of 50 students. I want to cluster them on their sequential data ( While doing a job they followed multiple sequences A, B, c total 7 stages). I am planning to apply k-means clustering ...
1
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0
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How do I separate Interleaved sentences using LSTM networks?
I have a problem statement wherein the following input
The James world Bond shall can't end save us tomorrow.
must be converted into this -
The world shall end tomorrow
&
James Bond can't ...
1
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0
answers
657
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RNN sequence length and cell size
I am trying to build a RNN model to classify time series.
My time series data consist of numbers with length 200.
I am using tensorflow, and when i create the placeholder for the data it is like this:...
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14
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2
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How to implement "one-to-many" and "many-to-many" sequence prediction in Keras?
I struggle to interpret the Keras coding difference for one-to-many (e. g. classification of single images) and many-to-many (e. g. classification of image sequences) sequence labeling. I frequently ...
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2
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1
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How to evaluate sequence to sequence models?
I wonder how to evaluate variable long sequence-to-sequence predictions?
Let us say I have the following $Y$ and $\hat{Y}$
$Y = [["1", "2", "2"], ["3", "2", "2"], ["1", "3", "2", "2"]]$
$\hat{Y} = [[...
- 8,457
4
votes
1
answer
1k
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Viterbi-like algorithm suggesting top-N probable state sequences implementation
Traditional Viterbi algorithm (say, for hidden Markov models) provides the most probable hidden state sequence given a sequence of observations.
There probably is an algorithm for decoding top-N ...
- 243
2
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0
answers
83
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Classifying Sequences Where Some Sequences in Both Classes
I am building a modified RNN (specifically a GRU) to classify sequences. These sequences are of variable length, and contain "states". Each point in the sequence is categorical and they look like [A,B,...
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2
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1
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152
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Find average sequence from a set of sequences [closed]
I have a set of user sessions. Session consists of an ordered list of types of actions that user made (for example, bought a gun, played a mission, etc).
I want to create/calculate session that have ...
- 131
1
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1
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512
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Sequence Batching in RNNs
I'm wondering why sequence batching in RNNs's target value loops back (I'm not sure what you call it), but let's take for example:
We want to learn a sequence of numbers (our input) from 1 to 16:
$$
...
- 679
2
votes
1
answer
388
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Next event prediction in the sequence
I have a sequence of event and would like to predict the next one. The training data looks like this:
Ev1,Ev2,Ev5,Ev6,Ev7
Ev1,Ev6,Ev99
Ev4,Ev3,Ev6
So, the idea is to get Ev7 given Ev1,Ev2,Ev5,Ev6
...
- 81
2
votes
2
answers
204
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Modeling the influence of events order on probability
The case is to model if the sequence of events influences the probability of binary target variable. We have for example five different events which occur in time (event: A,B,C,D,E). They can occur in ...
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1
vote
1
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411
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Given one language ngram model, how do I compare likelihoods of two texts of different length?
Let's say I have conditional probabilities estimates for N-grams and I want to find out which of the two sequences of different length 'looks more natural' in terms of the given model.
How does one ...
- 243
3
votes
1
answer
3k
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Principle behind seq2seq model's example in keras?
I am referring to seq2seq model's example code in keras (https://github.com/fchollet/keras/blob/master/examples/addition_rnn.py). The model is :
...
- 3,775
0
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1
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88
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Unsupervised sequence identification
I am looking for the best method to go from a sequence of events such as
time event
1 a
2 b
3 a
4 b
5 c
6 d
7 c
8 d
9 e
Where each letter corresponds to a ...
- 1,403
10
votes
2
answers
947
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Classification of vector sequences
My dataset is comprised of vector sequences. Each vector has 50 real-valued dimensions. The number of vectors in a sequence range from 3-5 to 10-15. In other words, the length of a sequence is not ...
8
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3
answers
2k
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Algorithm for segmentation of sequence data
I have a large sequence of vectors of length N. I need some unsupervised learning algorithm to divide these vectors into M segments.
For example:
K-means is not suitable, because it puts similar ...
- 273
5
votes
1
answer
180
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Classification of DNA Sequences
I have a database of 3190 instances of DNA consisting of 60 sequential DNA nucleotide positions classified according to 3 types: EI, IE, Other.
I want to formulate a supervised classifier.
My ...
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