Decision Making with Hierarchical Credal Sets

• We elaborate on hierarchical credal sets, which are sets of probability mass functions paired with second-order distributions. A new criterion to make decisions based on these models is proposed. This is achieved by sampling from the set of mass functions and considering the Kullback-Leibler divergence from the weighted center of mass of the set. We evaluate this criterion in a simple classification scenario: the results show performance improvements when compared to a credal classifier where the second-order distribution is not taken into account.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Nyckelord

Credal sets

second-order models

hierarchical credal sets

shifted Dirichlet distribution

credal classification

decision making

Technology

Teknik

Distribuerade realtidssystem (DRTS)

Distributed Real-Time Systems

Computer and Systems Sciences

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)