Results 81 to 90 of about 698,809 (305)

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

Advanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou, Baichuan Lou, Wenhui Huang, Binbin Hu, Haohan Yang, Haochen Liu, Xiangkun He, Chee Kiong Ong, Yiran Zhang, Tianchu Su, Bolin Zhao, Xiaoyu Mo, Holden King Ho Li, Chen Lv   +13 more
wiley   +1 more source

RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart

Frontiers in Genetics, 2020
Inferring gene regulatory networks from expression data is essential in identifying complex regulatory relationships among genes and revealing the mechanism of certain diseases.
Wei Liu, Wei Liu, Xingen Sun, Li Peng, Lili Zhou, Hui Lin, Yi Jiang   +6 more
doaj   +1 more source

Accelerating Causal Inference and Feature Selection Methods through G-Test Computation Reuse

Entropy, 2021
This article presents a novel and remarkably efficient method of computing the statistical G-test made possible by exploiting a connection with the fundamental elements of information theory: by writing the G statistic as a sum of joint entropy terms ...
Camil Băncioiu, Remus Brad
doaj   +1 more source

Analysis of Markov Blanket Based Feature Ranking for Android Malware Detection

Journal of Artificial Intelligence and Engineering Applications (JAIEA)
The ubiquity of Android applications in our daily lives has brought forth an indispensable need for robust app security mechanisms. Malware-infested applications not only jeopardize user privacy but also compromise data integrity and overall device ...
Yusfrizal Yusfrizal, A. Syahputra, Yahya Tanjung, Safrizal   +3 more
semanticscholar   +1 more source

Markov Blanket Feature Selection with Non-faithful Data Distributions

, 2013
In faithful Bayesian networks, the Markov blanket of the class attribute is a unique and minimal feature subset for optimal feature selection. However, little attention has been paid to Markov blanket feature selection in a non-faithful environment which
Kui Yu, Wu, X., Xindong Wu, Yu, K., Wei Ding, Yang Mu, Wang, H., Ding, W., Hao Wang, Mu, Y., Zan Zhang, Zhang, Z.   +11 more
core   +1 more source

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties

Scientific Reports, 2021
Functional diversity rather than species richness is critical for the understanding of ecological patterns and processes. This study aimed to develop novel integrated analytical strategies for the functional characterization of fish diversity based on ...
Feifei Wei, Kengo Ito, Kenji Sakata, Taiga Asakura, Yasuhiro Date, Jun Kikuchi   +5 more
doaj   +1 more source

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Markov blanket discovery in positive-unlabelled and semi-supervised data [PDF]

, 2015
The importance of Markov blanket discovery algorithms istwofold: as the main building block in constraint-based structure learn-ing of Bayesian network algorithms and as a technique to derive theoptimal set of features in filter feature selection ...
Sechidis, Konstantinos, Brown, Gavin; id_orcid, Konstantinos Sechidis, Gavin Brown   +3 more
core   +1 more source