Results 191 to 200 of about 341,780 (320)

Semi-Supervised Apprenticeship Learning

, 2012
In apprenticeship learning we aim to learn a good policy by observing the behavior of an expert or a set of experts. In particular, we consider the case where the expert acts so as to maximize an unknown reward function defined as a linear combination of a set of state features.
Valko, Michal, Ghavamzadeh, Mohammad, Lazaric, Alessandro   +2 more
openaire   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning. [PDF]

Sci Rep
Wang K, Han L, Li L.
europepmc   +1 more source

Semi-supervised Learning of Visual Causal Macrovariables

, 2023
Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya   +6 more
openalex   +2 more sources

Patterns of interspecific variation in labial microarchitecture among anthropoid primates and the evolution of the hominin lips

The Anatomical Record, EarlyView.
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich, Kfir Eliyahu, Nir Edery, Lior Moss, Saleem Eben Bari, Assaf Marom   +5 more
wiley   +1 more source

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation. [PDF]

NPJ Digit Med
Matsui I, Matsumoto A, Imai A, Okushima H, Niioka H, Abe M, Tamai N, Nagasu H, Kanda E, Uchino E, Sofue T, Imasawa T, Yano Y, Kinashi H, Miyoshi KI, Harada T, Nagasawa Y, Fujimoto K, Kurokawa Y, Kato S, Kaseda R, Koizumi M, Kusunoki Y, Ohya M, Kawazoe Y, Abe H, Matsukuma Y, Kosugi T, Ueda Y, Fujii N, Takeji M, Suzuki A, Nagatoya K, Oka K, Ando Y, Izumi M, Komiya T, Tsukamoto T, Mimura I, Kuragano T, Nakano T, Tsuruya K, Ito Y, Minamino T, Yamaguchi O, Yamamoto S, Komaba H, Furuichi K, Fukami K, Araki SI, Masaki T, Tsuboi N, Yokoyama H, Shimizu A, Ushiku T, Maruyama S, Yanagita M, Nangaku M, Yamamoto R, Inoue K, Isaka Y.   +60 more
europepmc   +1 more source

Inter‐ and intraspecific variation in theropod dinosaur dental microwear and its palaeoecological implications

The Anatomical Record, EarlyView.
Abstract Differences in skull and tooth morphology, stomach contents, and estimated bite force between medium‐to‐large sized (≥100 kg) predatory theropod dinosaurs have long been suspected to correlate with differences in their diets and dietary guilds (e.g., hypercarnivory, piscivory).
Cassius Morrison, James Gregory, Christopher Jackson, Jordan Bestwick, Katlin Schroeder, Samuel J.L. Gascoigne, Paul Bills, Laura B. Porro, Philip D. Mannion, Paul M. Barrett   +9 more
wiley   +1 more source

Semi-Supervised Learning for Predicting Multiple Sclerosis. [PDF]

J Pers Med
Kotsiantis S, Melagraki G, Verykios V, Sakagianni A, Matsoukas J.   +4 more
europepmc   +1 more source

The Role of miRNAs in Chicken Immune Regulation and Prospects for Disease‐Resistant Breeding

Animal Research and One Health, EarlyView.
A schematic workflow illustrating the screening of disease‐resistant miRNAs and the generation of miRNA‐based disease‐resistant chickens via PGC‐mediated germline genome editing. ABSTRACT MicroRNAs (miRNAs) are emerging as pivotal regulators of the immune system, playing a decisive role in shaping disease resistance in chicken.
Qiangzhou Wang, Weiran Wu, Qingqing Cai, Jiaxing Wang, Qi Gao, Muhammad Iftikhar, Yulin Bi, Hao Bai, Lihong Gu, Guobin Chang, Shihao Chen   +10 more
wiley   +1 more source

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]

Sci Rep
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc   +1 more source