Is traditional machine learning obsolete since neural nets, deep neural nets can always outperform them?

I have been coming across visualizations showing that the neural nets tend to perform better as compared to the traditional machine learning algorithms (Linear regression, Log regression, etc.) Assuming that we have sufficient data to train deep/neural nets, can we ignore the traditional machine learning topics and concentrate more on the neural network architectures? Given…

Formal proof that every purely reactive agent has behaviorally equivalent standard agent

It kind of makes sense intuitively but I’m not sure about a formal proof. I’ll start with briefly listing definitions from Intro to Multiagent systems, Wooldridge, 2002 and then give you my reasoning attempts thus far. Environment states are defined as $E=(e_{0}, e_{1},…, e_{u})$, agent actions are defined as $Ac=(\alpha_0, \alpha_1, …, \alpha_u)$, an agent’s…

How do I poison an SVM with manifold regularization?

I’m working on Adversarial Machine Learning, and have read multiple papers on this topic, some of them are mentioned as follows: Poisoning Attacks on SVMs: https://arxiv.org/pdf/1206.6389.pdf Adversarial Label Flips on Support Vector Machines However, I am not able to find any literature on data poisoning for Manifold regularization. Is there anyone who has knowledge about…

Can neural style transfer work on the image style in this question or is there a better technique?

I’ve been working with this neural style paper https://arxiv.org/pdf/1508.06576v2.pdf to try and transfer the style from this image to photos of pets. In case you’re not familiar with the technique, I’ll leave a brief explanation of it at the end. After taking the time to understand some of the concepts in the paper I’ve come…