Questions tagged [online-learning]
For questions related to online learning algorithms, that is, algorithms that learn while e.g. the associated agent interacts with an environment.
13
questions
1
vote
1answer
71 views
Does this $\max$ mean that we need to maximize the regret in this regret formula?
I found that the regret in Online Machine Learning is stated as:
$$\operatorname{Regret}_{T}(h)=\sum_{t=1}^{T} l\left(p_{t}, y_{t}\right)-\sum_{t=1}^{T} l\left(h(x), y_{t}\right),$$
where $p_t$ is the ...
2
votes
0answers
25 views
Deriving hyperparameter updates in Online Interactive Collaborative Filtering
I've been going through "Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms" by Wang et al. and am unable to understand how the update equations for the ...
3
votes
1answer
114 views
How do I keep my system (online) learning if I can get ground truth labels only for examples flagged positive?
I have a binary classifier (think of it as a content moderation system) that is deployed after having being trained via batch learning.
Once deployed, humans review and check for correctness only ...
2
votes
0answers
30 views
Is there an online RL algorithm that receives as input a camera frame and produces an action as output?
I want to build a reinforcement learning model, which takes a camera picture as input, that learns online (in terms of machine learning). Based on the position of an object on the camera, I want the ...
5
votes
0answers
50 views
Normalizing Normal Distributions in Thompson Sampling for online Reinforcement Learning
In my implementation of Thompson sampling (TS) for online Reinforcement Learning, my distribution for selecting $a$ is $\mathcal{N}(Q(s, a), \frac{1}{C(s,a)+1})$ where $C(s,a)$ is the number of times $...
2
votes
0answers
33 views
Best approach for online Machine Translation with few hundred of samples?
I want to implement a model that improves itself with the passage of time.
My main task is to build a machine translator (from English to Urdu).. The problem I am facing is that I have very little ...
1
vote
1answer
173 views
Online Learning for Neural Networks
There seems to be a lot of literature and research on the problems of stochastic gradient descent and catastrophic forgetting, but I can't find much on solutions to perform online learning with neural ...
2
votes
0answers
114 views
How does FastText support online learning?
I'm using FastText pre-trained-embedding for tackling a classification task, but I saw it supports also online training (incremental training) for adding domain-specific corpus.
How does it work?
...
3
votes
2answers
74 views
Which online machine learning technique to use for multi-class classification problem with multiple inputs?
I have the following problem. We have $4$ separate discrete inputs, which can take any integer value between $-63$ and $63$. The output is also supposed to be a discrete value between $-63$ and $63$. ...
1
vote
0answers
93 views
Online normalization of database for DQN
I have an issue with the normalization of the database (a large time series) for my DQN. I obtained optimal results and saved the NN (5 LSTM layers) weights training on a database normalized as such: ...
4
votes
1answer
242 views
Can a CNN be trained incrementally?
Like our human brain, we can first learn (train) the handwriting 0 and 1. After the traing (and test) accuray is good enough, we only need to study (traing) the hardwriting 2, Instead of cleaning all ...
3
votes
0answers
71 views
What are stable ways of doing online machine learning?
I am trying to deploy a machine learning solution online into an application for a client. One thing they requested is that the solution must be able to learn online because the problem may be non-...
8
votes
2answers
613 views
Are there dynamic neural networks?
Are there neural networks that can decide to add/delete neurons (or change the neuron models/activation functions or change the assigned meaning for neurons), links or even complete layers during ...
