Decision trees are widely used in many areas of computer science and related fields as
classifiers, as a means for knowledge representation, and as algorithms to solve various …

Accurate and real-time identification of market power abuse is a key task in the management
of electricity market violations. However, there are few effective monitoring methods for …

We investigate at decision trees that incorporate both traditional queries based on one
attribute and queries based on hypotheses about the values of all attributes. Such decision …

In this chapter, we study the problem of recognition of monotone Boolean functions with n
variables, n= 2,…, 4, and the problem of sorting n pairwise different elements from linearly …

In this chapter, we propose dynamic programming algorithms for the construction of decision
trees with minimum depth and decision trees with minimum number of working (nonterminal) …

Personalized health monitoring, including Human Activity Recognition (HAR) and Fall
Detection, is crucial for healthcare. Traditionally, most research in this field has relied on …

Artificial Intelligence technologies have been developed rapidly in the past 20 years and
have been widely applied in various industries. Machine Learning, as the most important …

In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …

In this chapter, we present greedy algorithms based on diverse uncertainty measures for the
construction of decision trees with hypotheses and discuss the results of computer …

We investigate at decision trees that incorporate both traditional queries based on one
attribute and queries based on hypotheses about the values of all attributes. Such decision …