Results 31 to 40 of about 248 (214)
Optimizing Binary Decision Diagrams with MaxSAT for Classification
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 The growing interest in explainable artificial intelligence(XAI) for critical decision making motivates the need for interpretable machine learning (ML) models. In fact, due to their structure (especially with small sizes), these models are inherently understandable by humans.
Hao Hu 0008 +2 more
openaire +2 more sources
A Recursive Framework for Evaluating Moments Using Zero-Suppressed Binary Decision Diagrams
IEEE AccessThe zero-suppressed binary decision diagram (ZDD) is a compact data structure widely used for the efficient representation of families of sparse subsets.
Brian Godwin Lim +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Lex-Partitioning: A New Option for BDD Search [PDF]
Electronic Proceedings in Theoretical Computer Science, 2012 For the exploration of large state spaces, symbolic search using binary decision diagrams (BDDs) can save huge amounts of memory and computation time. State sets are represented and modified by accessing and manipulating their characteristic functions ...
Stefan Edelkamp +2 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Frontiers in Plant Science, 2012 Model checking is a well-established technique for automaticallyverifying complex systems. Recently, model checkers have appearedin computer tools for the analysis of biochemical (and generegulatory) networks.
Miguel eCarrillo +2 more
doaj +1 more source
Survey of machine learning methods for detecting false data injection attacks in power systems
IET Smart Grid, 2020 Over the last decade, the number of cyber attacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, false data injection attacks (FDIAs) are a class of cyber-attacks against power grid monitoring systems.
Ali Sayghe +7 more
doaj +1 more source
Symblicit algorithms for optimal strategy synthesis in monotonic Markov decision processes [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 When treating Markov decision processes (MDPs) with large state spaces, using explicit representations quickly becomes unfeasible. Lately, Wimmer et al. have proposed a so-called symblicit algorithm for the synthesis of optimal strategies in MDPs, in the
Aaron Bohy +2 more
doaj +1 more source