Results 71 to 80 of about 293,924 (328)

Strategy for quantum algorithm design assisted by machine learning

open access: yes, 2014
We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a "quantum student" is being taught by a "classical teacher." In other words, in our method, the learning system is
Bang, Jeongho   +4 more
core   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization via Information Theory

open access: yes, 2017
We present an information-theoretic approach to lower bound the oracle complexity of nonsmooth black box convex optimization, unifying previous lower bounding techniques by identifying a combinatorial problem, namely string guessing, as a single source ...
Braun, Gábor   +2 more
core  

Linear-Space Approximate Distance Oracles for Planar, Bounded-Genus, and Minor-Free Graphs

open access: yes, 2011
A (1 + eps)-approximate distance oracle for a graph is a data structure that supports approximate point-to-point shortest-path-distance queries. The most relevant measures for a distance-oracle construction are: space, query time, and preprocessing time.
A. Slivkins   +15 more
core   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

open access: yesFood Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik   +2 more
wiley   +1 more source

Patient-Reported and Economic Racial and Ethnic Disparities in Patients with Psoriatic Arthritis: Results from the National Health and Wellness Survey

open access: yesRheumatology and Therapy
Introduction Psoriatic arthritis (PsA) is a chronic, autoimmune form of arthritis that is associated with a substantial humanistic and economic burden.
Iris Lin   +4 more
doaj   +1 more source

Multi-dimensional and dynamic representation on marine measured data in China's Coastal Zone and Offshore(中国海岸带及近海观测数据多维动态表达)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2010
基本表达是海洋地理信息系统(MGIS)的首要问题.针对海洋实测数据多源、多格式以及海量等特点,基于大型关系数据库Oracle9i,实现了数据一体化高效组织和管理.基于OCI应用程序接口,设计并开发数据库引擎,实现了数据的高效存储和访问.基于COM技术,开发了CMa3DView等7大可视化组件,并在海洋GIS系统平台软件MaXplorer中进行集成,实现了海洋实测数据的多维动态表达与分析,包括海洋要素场可视化、海洋要素图可视化以及与其他海洋数据的一体化显示.实际应用表明,本技术方法能有效管理海量实测数据 ...
FENGHang-jian(冯杭建)   +1 more
doaj   +1 more source

Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley   +1 more source

Prasenā, Prasīnā & Prasannā: The Evidence of the Niśvāsaguhya and the Tantrasadbhāva

open access: yesCracow Indological Studies, 2014
Prasenā, Prasīnā & Prasannā: The Evidence of the Niśvāsaguhya and the Tantrasadbhāva The literature of the Śaiva Mantramārga evidences differing strategies of incorporating prasenā divination into its theoretical frameworks.
Somadeva Vasudeva
doaj   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang   +8 more
wiley   +1 more source

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