Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
A LaTeX document class for lecture notes (for a seminar, for an entire course with several lectures, or for brief talks) that looks great and works even with basic pdflatex.
In the paper, a distinct subset of cryptographic algorithms & opcodes were correlated which resulted in our model achieving 96% accuracy. It would be advantageous to explore different settings which could further improve accuracy / generalization:
Trial different feature engineering techniques.
Build more datasets with a different number of embeddi
This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.
A flexible neural network implementation in python from scratch. It supports classification and regression tasks, with grid search for model selection, with weight decay, regularization, momentum and learning rate.
In the paper, a distinct subset of cryptographic algorithms & opcodes were correlated which resulted in our model achieving 96% accuracy. It would be advantageous to explore different settings which could further improve accuracy / generalization: