Results 121 to 130 of about 2,386,323 (274)
Prediction Markets as Calibration Teachers for Real-Time Bidding: Market Pricing Meets Ad Auctions
Journal of Advanced Computing SystemsReal-time bidding (RTB) systems hinge on calibrated conversion estimates because small probability errors are amplified into large budget allocation and auction outcomes.
Hanqi Zhang
doaj +1 more source
Strictly Proper Scoring Rules [PDF]
, 2014 Epistemic scoring rules are the en vogue tool for justifications of the probability norm and further norms of rational belief formation. They are different in kind and application from statistical scoring rules from which they arose. In the first part of
Landes, Juergen
core
Selective Modulation of OTUB1 Noncanonical Function via a bioPhosTAC Strategy
Advanced Science, EarlyView.This work positions the versatile performance of the peptide‐based bioPhosTAC platform for dissecting phosphorylation‐dependent biology and expanding the scope of induced‐proximity technologies. We demonstrated that selective manipulation of a tyrosine phosphorylation site is sufficient to propagate coordinated cellular consequences.
Seung Un Seo +7 more
wiley +1 more source
ADCT: Improving Robustness and Calibration of Pattern Recognition Models Against Visual Illusions
Applied SciencesPerception-level interference patterns, such as abutting gratings that induce illusory contours and pseudoisochromatic dot camouflage, can trigger failures that are not well captured by conventional corruption benchmarks.
Hui Dong, Lin Yu, Yi Yang
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RSF1‐Dependent PAR Turnover Promotes 53BP1 Liquid Condensate Formation at DNA Damage Sites
Advanced Science, EarlyView.At sites of DNA damage, RSF1 recruits PARG to accelerate PAR turnover, triggering a switch from PAR‐driven condensates to 53BP1 condensates. This condensate transition enables p53‐dependent gene transcription and coordinates the DNA damage response.
Yungyeong Heo +10 more
wiley +1 more source
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
CoRRUncertainty representation and quantification are paramount in machine learning and constitute an important prerequisite for safety-critical applications. In this paper, we propose novel measures for the quantification of aleatoric and epistemic uncertainty based on proper scoring rules, which are loss functions with the meaningful property that they ...
Paul Hofman +2 more
openaire +3 more sources
Subjective beliefs formation and elicitation rules : experimental evidence [PDF]
Since they have been increasingly used in economics, elicitation rules for subjective beliefs are under scrutiny. In this paper, we propose an experimental design to compare the performance of such rules.
Jean-Christophe Vergnaud +2 more
core
Advanced Science, EarlyView.Streptococcal mannose phosphotransferase system component IID (Man‐PTSIID) is identified as a novel RANK‐binding osteoclastogenic factor. By directly binding to RANK and activating NF‐κB independently of TLR2, Man‐PTSIID drives osteoclastogenesis and inflammatory bone destruction, uncovering an unexpected microbial mechanism underlying streptococcal ...
Chaeyeon Park +13 more
wiley +1 more source
Predicting Football Match Outcomes Using Machine Learning
ComputationFootball match outcomes are influenced by a complex interplay of dynamic team strategies and stochastic match events, posing a significant challenge for predictive analytics.
Morfis Sallis +2 more
doaj +1 more source
Advanced Science, EarlyView.Chromosome 16q loss drives genomic instability through disruption of the CYLD–TIRR–53BP1 axis. CYLD preserves homologous recombination by stabilizing TIRR and limiting 53BP1 accumulation at DNA double‐strand breaks. CYLD deficiency redirects repair toward error‐prone non‐homologous end joining, promotes mutational burden and homologous recombination ...
Mingming Lu +14 more
wiley +1 more source