Results 41 to 50 of about 803,101 (318)

Finding Association Rules by Direct Estimation of Likelihood Ratios

, 2017
In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution. We then obtain the values that minimize the cost function.
Kawakami, Kento, Kikuchi, Masato, Umemura, Kyoji, Yamamoto, Eiko, Yoshida, Mitsuo   +4 more
core   +1 more source

Spectrally Tuned Floating‐Gate Synapse Based on Blue‐ and Red‐Absorbing Organic Molecules for Wavelength‐Selective Neural Networks and Fashion Image Classifications

Advanced Functional Materials, EarlyView.
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang, Jisoo Park, Jinwoong Hong, Jinmin Park, Jeongbo Lee, Hyeonjung Kim, Wonjun Shin, Eva Bestelink, Radu A. Sporea, Seyong Oh, Chung Whan Lee, Yun‐Hi Kim, Hocheon Yoo   +12 more
wiley   +1 more source

Bayesian definition of random sequences with respect to conditional probabilities

, 2022
We study Martin-L\"{o}f random (ML-random) points on computable probability measures on sample and parameter spaces (Bayes models). We consider four variants of conditional random sequences with respect to the conditional distributions: two of them are ...
Takahashi, Hayato
core  

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells

Advanced Theory and Simulations, EarlyView.
Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley   +1 more source

New Normative Standards of Conditional Reasoning and the Dual-Source Model

Frontiers in Psychology, 2014
There has been a major shift in research on human reasoning towards Bayesian and probabilistic approaches, which has been called a new paradigm. The new paradigm sees most everyday and scientific reasoning as taking place in a context of uncertainty, and
Henrik eSingmann, Karl Christoph Klauer, David E Over   +2 more
doaj   +1 more source

Further characterization based on conditional expectations: new and extended findings

Journal of Taibah University for Science, 2023
On the basis of conditional expectation of a random variable function, we present few characterization findings in this study. For a given function g, [Formula: see text], we present necessary and sufficient conditions for characterization results in ...
Ali. A. Al-Shomrani
doaj   +1 more source

Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection

Advanced Science, EarlyView.
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He, Yanjun Ding, Timon Rabczuk, Chensen Ding   +3 more
wiley   +1 more source

Structural reliability analysis based on a limited directional important sampling simulation

Nihon Kikai Gakkai ronbunshu, 2015
This study describes an efficient estimation method of the structural failure probability based on a limited directional importance sampling simulation.
Shoya OKUDA, Masaaki YONEZAWA
doaj   +1 more source