Why is there no upper confidence bound algorithm for linear stochastic bandits that uses lasso regression in the case that the regression parameters are sparse in the features? In particular, I don’t understand what is hard about lasso regression that makes it hard to be used in a UCB type algorithm whereas there is a […]

# Category: Artificial Intelligence (AI)

I cannot find reliable sources but someone says it is 40 moves and someone else says it is 50+ moves. I read their papers and they use value function (NN) and policy function to trim the tree, so more layers can be searched while spending less time searching less different positions. My question is, is […]

From the article https://en.wikipedia.org/wiki/Occam%27s_razor: Another contentious aspect of the razor is that a theory can become more complex in terms of its structure (or syntax), while its ontology (or semantics) becomes simpler, or vice versa. Quine, in a discussion on definition, referred to these two different perspectives as "economy of practical expression" and "economy in […]

My doubt is like this : Suppose we have an MLP. In an MLP, as per the backprop algorithm (back-propagation algorithm), the correction applied to each weight is : $$ w_{ij} := -\eta\frac{\partial E}{\partial w_{ij}}$$ ($\eta$ = learning rate, $E$ = error in the output, $w_{ij}$ = $i^{\text{th}}$ neuron in the $j^{\text{th}}$ row or layer) […]

for imbalance image or NLP datasets. From, what I learned is it is good to use weighted log loss. but, in competitions, the people who are in top positions are using not much using weighted loss function. But, treating the classification problem as a regression problem and using mse as the loss function. I want […]

I am a newbie to Machine Learning field as I am engaging to a personal project that I am trying to use the 6 degree of freedom Inertial Measurement Units(IMUs) measuring the Acceleration acting on 3 axes(x-y-z) and the Angular velocity around the same 3 axis(x-y-z). One sensor generates a set of 6 raw variables […]

I am a newbie to Machine Learning field as I am engaging to a personal project that I am trying to use the 6 degree of freedom Inertial Measurement Units(IMUs) measuring the Acceleration acting on 3 axes(x-y-z) and the Angular velocity around the same 3 axis(x-y-z). One sensor generates a set of 6 raw variables […]

I am a newbie to Machine Learning field as I am engaging to a personal project that I am trying to use the 6 degree of freedom Inertial Measurement Units(IMUs) measuring the Acceleration acting on 3 axes(x-y-z) and the Angular velocity around the same 3 axis(x-y-z). One sensor generates a set of 6 raw variables […]

I’ve been researching the topic of Cognitive Load Measurement through pupil dilation measurement. All solutions to pupil dilation measurement require some kind of special hardware setup. I was wondering if it would be possible to use AI on a regular webcam record and do those measurements later. If yes, I’d love some pointers to resources […]

I want to pose this question in a broad generalized sense so that it applies to any field/sensor data, but I will also try and give examples. What is the best way to embed information about the "sensor" (e.g. sensor #1, sensor position, etc) into a neural network for classification or regression. A few examples […]