Results 91 to 100 of about 806,396 (338)

Kernel methods for learning languages

open access: yesTheoretical Computer Science, 2008
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

open access: yesFrontiers in Microbiology, 2018
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

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

open access: yesAdvanced Functional Materials, EarlyView.
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

open access: yesTechnologies, 2017
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

open access: yesAdvanced Functional Materials, EarlyView.
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]

open access: yes, 2007
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

open access: yesSensors, 2016
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

open access: yesAdvanced Healthcare Materials, EarlyView.
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

open access: yesAdvanced Healthcare Materials, EarlyView.
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

open access: yesIEEE Access, 2018
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

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