Results 91 to 100 of about 2,386,323 (274)

Language Generation with Strictly Proper Scoring Rules

CoRR
Language generation based on maximum likelihood estimation (MLE) has become the fundamental approach for text generation. Maximum likelihood estimation is typically performed by minimizing the log-likelihood loss, also known as the logarithmic score in statistical decision theory. The logarithmic score is strictly proper in the sense that it encourages
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou 0016   +3 more
openaire   +4 more sources

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

Advanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco, Francesca Vittorioso, Dimitrios C. Zografopoulos, Romeo Beccherelli, Walter Fuscaldo   +4 more
wiley   +1 more source

Experiential Learning And Strictly Proper Scoring Rules [PDF]

2009 Annual Conference & Exposition Proceedings, 2020
Comment: 15 ...
openaire   +2 more sources

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

NECESSARY AND SUFFICIENT CONDITIONS FOR DOMINATION RESULTS FOR PROPER SCORING RULES

The Review of Symbolic Logic, 2023
AbstractScoring rules measure the deviation between a forecast, which assigns degrees of confidence to various events, and reality. Strictly proper scoring rules have the property that for any forecast, the mathematical expectation of the score of a forecast p by the lights of p is strictly better than the mathematical expectation of any other forecast
openaire   +2 more sources

Overconfident for real? Proper scoring for confidence intervals [PDF]

Studies show that people tend to provide overly narrow confidence intervals for unknown values. Such a form of overconfidence would have an important impact on financial markets, among other domains, leading i.a. to excessive trading.
Michał Krawczyk
core  

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Mechanism design for eliciting probabilistic estimates from multiple suppliers with unknown costs and limited precision [PDF]

, 2009
This paper reports on the design of a novel two-stage mechanism, based on strictly proper scoring rules, that allows a centre to acquire a costly probabilistic estimate of some unknown parameter, by eliciting and fusing estimates from multiple suppliers.
Enrico H. Gerding, Jennings, N. R., Papakonstantinou, Athanasios, Alex Rogers, Nicholas R. Jennings, Gerding, E. H, Athanasios Papakonstantinou, Rogers, Alex, Gerding, Enrico, Jennings, Nicholas, Papakonstantinou, A., Rogers, A.   +11 more
core   +2 more sources

Incentive Schemes for Centralized Material Planning and Allocation With Asymmetric Information in Construction Supply Chain

IEEE Access
In construction projects, a centralized management mode can effectively address the material management issues. Specifically, the Material Management Department (MMD) is responsible for material purchase, storage, and allocation based on the demand ...
Hui Lu, Hongwei Wang, Chao Qi, Yong Xie, Dian Liu   +4 more
doaj   +1 more source