Let's Make Robots!
Expresses emotions, solves problems, artificial consciousness
Virtual robot girl will have human like skills. Human like skills means simply, she will be able to learn like a human, she will be able to express emotions like a … Read more
1. Introduction Lucy is a virtual robot and a further development of Emo. She is able to learn by supervised machine learning and express emotions by an according … Read more
Changes its emotional states based on its environment
I call the virtual robot Emo. I modeled the face after my daughter Mia. It changes its emotional states based on its environment. There are two slide bars on the … Read more
Computes emotions based on pleasure and activation
Recently I came across the so called circumplex model of affect. When seeing the plot, I immediately associated it with the kNN algorithm. I have re-drawn and … Read more
Reads and analyzes medical test strips
1. Introduction Read more
Classifies the color of a new object
The k-NN (k-nearest neighbors) algorithm is among the simplest of all machine learning algorithms. We will use this algorithm to classify the color of a new object. … Read more
Using artificial intelligence to identify a disease by its symptoms
1. Introduction A medical tricorder is a handheld portable scanning device to be used by consumers to self-diagnose medical conditions within seconds and take … Read more
Self-diagnoses medical conditions
While the world encounters more and more Ebola cases, the human kind seems to be more than ever in need of a medical tricorder, known from the science fiction TV … Read more

Automatic medical diagnosis device - Part 1

One of my long term projects is to develope an automatic medical diagnosis device. During my research I came up with the so called naive Bayes classifier and started to learn about this kind of machine learning. In the attached PDF I use the example given on the wikipedia page but in greater details. If you want to learn more about naive Bayes classifier, I recommend the following one: http://guidetodatamining.com/guide/ch6/DataMining-ch6.pdf