The membership function of Consequents (Outputs) in Fuzzy classifier

The problem in Iris data is to classify three species of iris (setosa, versicolor and virginica) by four-dimensional attribute vectors consisting of sepal length (x1) sepal width (x2) petal length (x3) petal width (x4) Every attribute of the fuzzy classifier is assigned with three linguistic terms (fuzzy sets): short, medium and long. With normalized attribute…

The membership function of Consequents (Outputs) in Fuzzy classifier

The problem in Iris data is to classify three species of iris (setosa, versicolor and virginica) by four-dimensional attribute vectors consisting of sepal length (x1) sepal width (x2) petal length (x3) petal width (x4) Every attribute of the fuzzy classifier is assigned with three linguistic terms (fuzzy sets): short, medium and long. With normalized attribute…

How to reduce variance of the model loss during training?

I know that stochastic gradient descent always gives different results. What are the best practices to reduce this variance today? I tried to predict simple function with two different approaches and every time I train them I see very different results. Input data: def plot(model_out): fig, ax = plt.subplots() ax.grid(True, which=’both’) ax.axhline(y=0, color=’k’, linewidth=1) ax.axvline(x=0,…

Which AI conference presentation on the subject of predicting terrorist movement in buildings caused protest in the audience and media?

I remember reading an article a while ago on AI ethics that described a conference presentation on the subject of predicting terrorist movement in buildings and using drones to shoot them in a military AI system. The presentation caused protests and sharp criticism in the audience due to the dehumanizing nature of the presented AI…