To simulate the reward-oriented model we used a q-learning algorithm with the group-level parameters estimated from the model-fitting procedure, with the Q values of all options initiated at the value of 50. The experimental simulations included 3 types of action patterns: Constant (a–a–a–...
Identify which of these problems are NP-complete and which can be exactly solved using a polynomial time algorithm. a. Finding the vertex cover in a line graph. b. Finding the maximum clique in a tree Give a big-O estimate of the complexity of the Base algorithm procedure Bas...
We applied three machine learning algorithms: decision tree (DT), support vector machine (SVM) and artificial neural network (ANN). For each algorithm we automatically extract diagnosis rules. For formalising expert knowledge, we relied on the normative dataset (Invernizzi et al. in Ophthalmol ...