Many problems can be expressed in terms of a numeric constraint satisfaction problem over finite or continuous domains (numeric CSP). The purpose of this paper is to show that the consistency techniques that have been developed for CSPs can be adapted to numeric CSPs. Since the numeric domains are ordered the underlying idea is to handle domains only by their bounds. The semantics that have bee...

Online review systems (ORS) such as TripAdvisor or Yelp collect numeric evaluations from reviewers using interval scales. However, the UI of interval scales differ remarkably across ORS, even though prior research suggests that design cues of the interval scale can bias individual’s interpretation of the scale and thus the numeric evaluations. The impact of the UI on numeric evaluations is part...

This paper addresses the problem of automatic numeric recognition and understanding in spoken language dialogue. We show that accurate numeric understanding in ̄uent unconstrained speech demands maintaining robustness at several di€erent levels of system design, including acoustic, language, understanding and dialogue. We describe a robust system for numeric recognition and present algorithms f...

Links: [1] https://www.buppractice.com/node/601 [2] https://www.ncbi.nlm.nih.gov/pubmed/17891656?ordinalpos=1&itool=EntrezSystem2.P Entrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pubmed_RVDocSum [3] https://www.buppractice.com/taxonomy/term/91 [4] https://www.buppractice.com/taxonomy/term/111 [5] https://www.buppractice.com/taxonomy/term/94 [6] https://www.buppractice.com/taxon...

The real-world application of planning techniques often requires models with numeric fluents. However, these fluents are not directly supported by most planners and heuristics. We describe a family of planning algorithms that takes a numeric planning problem and produces an abstracted representation that can be solved using any classical planner. The resulting abstract plan is generalized into ...

Currently, all search algorithms which use discretization of numeric attributes for numeric association rule mining, work in the way that the original distribution of the numeric attributes will be lost. This issue leads to loss of information, so that the association rules which are generated through this process are not precise and accurate. Based on this fact, algorithms which can natively h...