All Questions
Tagged with algorithmsoptimization
19 questions
0votes
1answer
509views
Understanding the stochastic average gradient (SAG) algorithm used in sklearn
For pedagogical purposes I've been trying to create my own implementation of the stochastic average gradient (SAG) algorithm in a logistic regression framework. Page 10 of the associated paper ...
1vote
1answer
89views
Calculate the top 5 optimal parcel locker cabinet configurations
Dear Data Science community, I have the following problem to solve and I'd like to learn which algorithm or approach I can use to tackle it. I don't expect a full solution here but I really want to ...
- 111
0votes
0answers
61views
Determine optimal number of layers for a neural network based on the dataset
I have a Neural network architecture where there are N parallel-connected layers (min. 3). Based on the dataset and classes it has, the optimal number of layers differ. Eg. for dataset1 optimal number ...
Karan Owalekar
0votes
0answers
39views
Why does my regression-NN completely fail to predict some points?
I would like to train a NN in order to approximate an unknown function $y = f(x_1,x_2)$. I have a lot of measurements $y = [y_1,\dots,y_K]$ (with K that could be in the range of 10-100 thousands) ...
1vote
1answer
62views
Tuning a multivariate process automatically
I have a process to optimize which involves multiple algorithms. These algorithms are mostly interchangeable, but can have different performance benefits depending upon the input, and depending upon ...
- 13
4votes
1answer
170views
How do I minimizie cost for EV charging?
I want to find a charging schedule that minimize cost of charging an EV. The main objective is to have a fully charged car for the next morning, but the sub objective is to minimize cost based these ...
1vote
1answer
109views
How does the construction of a decision tree differ for different optimization metrics?
I understand how a decision tree is constructed (in the ID3 algorithm) using criterion such as entropy, gini index, and variance reduction. But the formulae for these criteria do not care about ...
- 111
2votes
1answer
147views
How can we conclude that an optimization algorithm is better than another one
When we test a new optimization algorithm, what the process that we need to do?For example, do we need to run the algorithm several times, and pick a best performance,i.e., in terms of accuracy, f1 ...
1vote
2answers
5kviews
Suggestions for Matchmaking Algorithm
I run a heterosexual matching making service. I have my male clients and my female clients. I need to pair each of my clients with their "soul mate" based on several attributes (age, interests, ...
- 263
2votes
1answer
164views
Efficient way to search list of items in a text document
I have a list of items (size ~50K) and several documents( average page per document ~10). I am trying to find what all items are listed in each document as follows : ...
- 1,940
1vote
0answers
62views
What is the simplest optimization algorithm for a multi-parameter closed system?
I'm working on a minimization problem for a wireless communication link. I want to minimize the total bit error rate (BER) of a closed system. My problem is that the signal has multiple (50) ...
- 11
1vote
1answer
51views
Are there any learner-specific optimizers?
In reading about machine learning (ML), and working through some basic examples, it appears to me most learning algorithms use generic optimizers. I am using the word "optimizer" to describe the ...
- 111
1vote
0answers
93views
Mean-variance mapping optimization (MVMO) in R
Someone know tell me if there is any package in R about Mean-variance mapping optimization (MVMO) algorithm? I already researched, but don't find anything about this.
1vote
1answer
1kviews
Find best (most efficient) combination of Ingredients
Question: Suggest me an approach to that kind of problem. Is it pure optimization problem? What might Machine Learning techniques can be helpful here? Case Study My reduced case study is as follows: ...
0votes
4answers
695views
ML algorithm for target minimization?
Simplified question: I have a dataset of how well certain agents perform on certain tasks, and based on this I've trained a model that can make predictions for newly incoming tasks. I'd like to make ...
- 1,379
