Results 91 to 100 of about 3,612,733 (245)
On the error resilience of ordered binary decision diagrams
Ordered Binary Decision Diagrams (OBDDs) are a data structure that is used in an increasing number of fields of Computer Science (e.g., logic synthesis, program verification, data mining, bioinformatics, and data protection) for representing and manipulating discrete structures and Boolean functions.
Anna Bernasconi 0001 +2 more
openaire +4 more sources
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Truth tables to binary decision diagrams [PDF]
Model transformation tools have reached a considerable level of maturity in the core features, and are currently developing in many directions. Some tools are focusing on providing higher performance for large models or complex transformations. Others focus on bidirectionality, visualisation, traceability, or verifiability, among other research ...
Antonio García-Domínguez, Georg Hinkel
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Query Learning Algorithm for Ordered Multi-Terminal Binary Decision Diagrams
We propose a query learning algorithm for ordered multi-terminal binary decision diagrams (OMTBDDs) using at most n equivalence and 2n(l\lcei\log_2 m\rceil+ 3n) membership queries by extending the algorithm for ordered binary decision diagrams (OBDDs ...
Nakamura, Atsuyoshi
core
Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source
Binary-Decision-Diagrams for Set Abstraction
Whether explicit or implicit, sets are a critical part of many pieces of software. As a result, it is necessary to develop abstractions of sets for the purposes of abstract interpretation, model checking, and deductive verification. However, the construction of effective abstractions for sets is challenging because they are a higher-order construct. It
openaire +3 more sources
Decision diagrams are a natural representation of finite functions. The obvious complexity measures are length and size which correspond to time and space of computations.
Ingo Wegener +3 more
core
Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl +6 more
wiley +1 more source
Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis
ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu +3 more
wiley +1 more source
Factored Edge-Valued Binary Decision Diagrams
Factored Edge-Valued Binary Decision Diagrams form an extension to Edge-Valued Binary Decision Diagrams. By associating both an additive and a multiplicative weight with the edges, FEVBDDs can be used to represent a wider range of functions concisely. As
Paul Tafertshofer, Massoud Pedram
core +1 more source

