Time Series data in Machine Learning Algorithms [closed]

Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 years ago. Improve this question I am relatively new to machine learning and have recently had some exposure to Decision … Read more

Machine Learning Algorithm for Minimizing Simulation Error

I have a set of simulation output that has an error value associated with each trial, along with the parameters that were used. In practice, some of these parameters will be fixed by the environment while the rest can be chosen. These parameters are all continuous, and most have nonlinear relationships with the error. What … Read more

Feature engineering based off of a variable length vector

I am studying a particular type of system. I have a theory that allows me to simulate how the system evolves based on some initial conditions. Now, looking at a real object, I am using machine learning to determine what initial conditions, if simulated, would give rise to an object with those properties. I am … Read more

Training a neural network (R) [duplicate]

This question already has answers here: What should I do when my neural network doesn’t learn? (8 answers) Closed 2 years ago. I’m working on a neural network with one hidden layer. So far I’ve implemented the algorithm, and I’ve been able to numerically verify the partial derivatives I get from back propagation. My problem … Read more

Machine learning: Training and Development Sets

There are Training Set, Development Set (to tune the parameters) Test Set. Is it possible to use SVM with the Training Set and various of features set, to get various of classifiers, and then test the classifiers on the Development Set, pick the classifier that gave the best result, and test it on the Test … Read more

Statistical test to see whether dataset represents reality or not [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 5 years ago. Improve this question I have a dataset consisting data from 3 persons (2 male, 1 female) for a total of 56 days. Data … Read more

How to normalize the distance between two distributions

I’m creating a distance metric that is composed out of multiple pairwise feature distances. The distance metric will be used in a clustering algorithm for a computer security problem, more specifically the clustering algorithm will group together related “malicious instances”. Our hypothesis is that malicious instances will share similar characteristics (=features), as opposed to benign … Read more

Opinions about Oversampling in general, and the SMOTE algorithm in particular [closed]

Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 4 years ago. Improve this question What is your opinion about oversampling in classification in general, and the SMOTE algorithm in particular? … Read more

Not able to understand KL decomposition

The bias-variance decomposition usually applies to regression data. We would like to obtain similar decomposition for classification, when the prediction is given as a probability distribution over C classes. Let P=[P1,…,PC] be the ground truth class distribution associated to a particular input pattern. Assume the random estimator of class probabilities ˉP=[ˉP1,…,ˉPC] for the same input … Read more

Planning VS Reinforcement Learning for Large State Spaces

Does knowing everything about your environment yield any major shortcuts to finding the optimal policy, in a Markov Decision Process with a very large (finite) number of states? Mere planning clearly requires less effort than reinforcement learning for smaller state spaces; in many cases we can just calculate the policy or value function from the … Read more