For some hypothesis classes and input distributions,\emph {active} agnostic learning needs
exponentially fewer samples than passive learning; for other classes and distributions, it …

In this research, we consider decision trees that incorporate standard queries with one
feature per query as well as hypotheses consisting of all features' values. These decision …

For some hypothesis classes and input distributions, active agnostic learning needs
exponentially fewer samples than passive learning; for other classes and distributions, it …

Exploration of oil and gas in the offshore regions is increasing due to global energy demand.
The weather in offshore areas is truly unpredictable due to the sparsity and unreliability of …

Decision rules belong to known forms of knowledge representation. Among popular
measures of their quality length and support can be distinguished. Shorter rules are easier …

Finding optimal mechanisms for effective management of production preparation processes
is the focus when improving management systems. Emergency repairs accelerate the …