Results 81 to 90 of about 319,250 (312)

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Complexity, 2018
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
doaj   +1 more source

Intersection Traffic Prediction Using Decision Tree Models

Symmetry, 2018
Traffic prediction is a critical task for intelligent transportation systems (ITS). Prediction at intersections is challenging as it involves various participants, such as vehicles, cyclists, and pedestrians.
Walaa Alajali, Wei Zhou, Sheng Wen, Yu Wang   +3 more
semanticscholar   +1 more source

Advanced Electrode Materials for Efficient Hydrogen Production in Protonic Ceramic Electrolysis Cells

Advanced Materials, EarlyView.
Protonic ceramic electrolysis cells (PCECs) are a promising intermediate‐temperature hydrogen production technology, leveraging high proton conductivity in electrolytes yet constrained by insufficient catalytic activity and interfacial instability in fuel/air electrodes. This review systematically categorizes advanced electrode materials and critically
Zhipeng Liu, Lilin Zhang, Chunyue Joey Zheng, Yuan Zhang, Bin Chen, Zongping Shao, Jingjie Ge   +6 more
wiley   +1 more source

Incremental learning of independent, overlapping, and graded concept descriptions with an instance-based process framework [PDF]

, 1989
Supervised learning algorithms make several simplifying assumptions concerning the characteristics of the concept descriptions to be learned. For example, concepts are often assumed to be (1) defined with respect to the same set of relevant attributes ...
Aha, David W.
core  

Improved Implementation of Point Location in General Two-Dimensional Subdivisions

, 2012
We present a major revamp of the point-location data structure for general two-dimensional subdivisions via randomized incremental construction, implemented in CGAL, the Computational Geometry Algorithms Library. We can now guarantee that the constructed
D.G. Kirkpatrick, D.P. Dobkin, D.T. Lee, E. Berberich, E. Flato, F.P. Preparata, H. Edelsbrunner, J. Snoeyink, K. Mulmuley, N. Sarnak, O. Devillers, R. Seidel, R. Seidel   +12 more
core   +2 more sources

Beyond Conventional Cooling: Advanced Micro/Nanostructures for Managing Extreme Heat Flux

Advanced Materials, EarlyView.
This review examines the design, application, and manufacturing of biomimetic or engineered micro/nanostructures for managing high heat‐flux in multi‐level electronics by enhancing conductive, convective, phase‐changing, and radiative heat transfer mechanisms, highlighting their potential for efficient, targeted thermal management, and future prospects.
Yuankun Zhang, Huajie Li, Yuhang Zhou, Jun Ma, Keng‐Te Lin, Han Lin, Chunsheng Guo, Baohua Jia   +7 more
wiley   +1 more source

Cost-effectiveness of nirmatrelvir/ritonavir in COVID-19 patient groups at high risk for progression to severe COVID-19 in the Netherlands

Cost Effectiveness and Resource Allocation
Background Nirmatrelvir/ritonavir is indicated for the treatment of COVID-19 in symptomatic adults with increased risk for severe illness, not requiring supplemental oxygen yet. From a Dutch societal perspective, a cost-utility assessment of nirmatrelvir/
Carlos H. Arteaga Duarte, Michel L. Peters, Michelle H. M. de Goeij, Roy Spijkerman, Maarten J. Postma   +4 more
doaj   +1 more source

Efficient multi-label classification for evolving data streams [PDF]

, 2010
Many real world problems involve data which can be considered as multi-label data streams. Efficient methods exist for multi-label classification in non streaming scenarios.
Bifet, Albert, Holmes, Geoffrey, Pfahringer, Bernhard, Read, Jesse   +3 more
core   +1 more source

Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth

Advanced Materials, EarlyView.
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke, Leo Luber, Ioannis Kouroudis, Jonathan Paul, Alexander Schuhbeck, Lukas M. Rescher, Tizian Lorenzen, Veronika Mayer, Knut Müller‐Caspary, Bert Nickel, Alessio Gagliardi, Alexander S. Urban   +11 more
wiley   +1 more source

Optimal randomized incremental construction for guaranteed logarithmic planar point location [PDF]

, 2014
Given a planar map of $n$ segments in which we wish to efficiently locate points, we present the first randomized incremental construction of the well-known trapezoidal-map search-structure that only requires expected $O(n \log n)$ preprocessing time ...
Halperin, Dan, Hemmer, Michael, Kleinbort, Michal   +2 more
core