Results 91 to 100 of about 806,396 (338)
Kernel methods for learning languages
AbstractThis paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane in that space.
Leonid Kontorovich+2 more
openaire +2 more sources
Predictive Modeling of Microbiome Data Using a Phylogeny-Regularized Generalized Linear Mixed Model
Recent human microbiome studies have revealed an essential role of the human microbiome in health and disease, opening up the possibility of building microbiome-based predictive models for individualized medicine.
Jian Xiao+6 more
doaj +1 more source
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park+7 more
wiley +1 more source
A Novel Kernel-Based Regularization Technique for PET Image Reconstruction
Positron emission tomography (PET) is an imaging technique that generates 3D detail of physiological processes at the cellular level. The technique requires a radioactive tracer, which decays and releases a positron that collides with an electron ...
Abdelwahhab Boudjelal+2 more
doaj +1 more source
Engineering Highly Cellularized Living Materials via Mechanical Agitation
A mechanical agitation strategy is developed to engineer highly cellularized living materials, achieving cell densities of up to 1 billion cells per milliliter. By precisely tuning properties such as stiffness and toughness in blood clots, the approach is validated in both in vitro and in vivo studies.
Aram Bahmani+9 more
wiley +1 more source
A Kernel Method for the Two-Sample-Problem [PDF]
We propose a framework for analyzing and comparing distributions, allowing us to design statistical tests to determine if two samples are drawn from different distributions. Our test statistic is the largest difference in expectations over functions in the unit ball of a reproducing kernel Hilbert space (RKHS).
Gretton, A.+4 more
openaire +5 more sources
Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation
Vision-based pedestrian detection has become an active topic in computer vision and autonomous vehicles. It aims at detecting pedestrians appearing ahead of the vehicle using a camera so that autonomous vehicles can assess the danger and take action. Due
Rui Sun+3 more
doaj +1 more source
Thermoresponsive BrushGel Microcarriers for Efficient Cell Expansion and Enzyme‐Reduced Harvesting
Askari et al, report on temperature‐responsive microcarriers to minimize enzyme use and cost in dynamic cultures. Abstract Scaling up cell therapy requires efficient expansion of high‐quality cells. Microcarrier(MC)‐based systems offer high surface‐to‐volume ratios and reduce culture media usage.
Esfandyar Askari+9 more
wiley +1 more source
Advanced Oral Delivery Systems for Nutraceuticals
Emerging delivery technologies are explored to overcome barriers to oral nutraceutical absorption. Traditional carriers are compared with novel platforms including biodegradable polymers, MOFs, MPNs, and 3D printing. These systems enhance bioavailability, control release, and enable personalized nutrition.
Xin Yang+4 more
wiley +1 more source
Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction
This paper proposes a novel recurrent multi-step-ahead prediction model called recurrent kernel extreme reservoir machine (RKERM) with quantum particle swarm optimization (QPSO).
Zongying Liu+3 more
doaj +1 more source