Results 71 to 80 of about 169,139 (307)
Non Parametric Distributed Inference in Sensor Networks Using Box Particles Messages
, 2014 This paper deals with the problem of inference in distributed systems where the probability model is stored in a distributed fashion. Graphical models provide powerful tools for modeling this kind of problems.
Haj Chhadé, Hiba +15 more
core +1 more source
Partial Reconfigurable FIR Filtering System Using Distributed Arithmetic
International Journal of Reconfigurable Computing, 2010 Dynamic partial reconfiguration (DPR) allows us to adapt hardware resources to meet time-varying requirements in power, resources, or performance. In this paper, we present two new DPR systems that allow for efficient implementations of 1D FIR filters on
Daniel Llamocca +2 more
doaj +1 more source
Parallel and Distributed Collaborative Filtering
ACM Computing Surveys, 2016 Collaborative filtering is among the most preferred techniques when implementing recommender systems. Recently, great interest has turned toward parallel and distributed implementations of collaborative filtering algorithms. This work is a survey of parallel and distributed collaborative filtering implementations, aiming to not only provide a ...
Efthalia Karydi +1 more
openaire +2 more sources
Filter Classes of Upsets of Distributive Lattices
Order, 2023 Let us say that a class of upward closed sets (upsets) of distributive lattices is a finitary filter class if it is closed under homomorphic preimages, intersections, and directed unions. We show that the only finitary filter classes of upsets of distributive lattices are formed by what we call $n$-filters.
openaire +3 more sources
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy
Sensors, 2020 Estimation accuracy is the core performance index of sensor networks. In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of sensor networks.
Xiaoyu Zhang, Yan Shen
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
COSMOS-7: Video-oriented MPEG-7 scheme for modelling and filtering of semantic content
, 2005 MPEG-7 prescribes a format for semantic content models for multimedia to ensure interoperability across a multitude of platforms and application domains.
Agius, HW, Angelides, MC
core +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source