Results 121 to 130 of about 6,043,564 (322)
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Policy with Dispersed Information [PDF]
Information regarding economic fundamentals is widely dispersed in society, is only imperfectly aggregated through prices or other indicators of aggregate activity, and can not be centralized by the government or any other institution.
Alessandro Pavan +1 more
core +3 more sources
Cogent Engineering, 2016 This paper proposes an effective supervised learning approach for static security assessment of a large power system. Supervised learning approach employs least square support vector machine (LS-SVM) to rank the contingencies and predict the system ...
Bhanu Pratap Soni +2 more
doaj +1 more source
The Determinants of the Relationship of Corporate Social Performance and Financial Performance: Conceptual Framework [PDF]
, 2012 The objective of this paper is to investigate relationship between CSP and CFP using contingency perspective derived from the strategic management domain. The investigation will be done using lens of slack resource and
Fauzi, Hasan
core +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
, 2019 Intrinsic rewards were introduced to simulate how human intelligence works; they are usually evaluated by intrinsically-motivated play, i.e., playing games without extrinsic rewards but evaluated with extrinsic rewards.
Lukasiewicz, Thomas +6 more
core +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
‘Balancing’ the ‘live’ use of resources towards the introduction of the iterative numerical method [PDF]
, 2019 This paper draws on the Knowledge Quartet (Rowland, Huckstep, & Thwaites, 2005) to analyse an introductory to the Iterative Numerical Method Year 13 lesson of a secondary mathematics teacher who uses a range of paper based and electronic resources ...
Biza, Irene, Kayali, Lina
core +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Interpretation of ambiguous trials along with reasoning strategy is related to causal judgements in zero-contingency learning. [PDF]
Q J Exp Psychol (Hove), 2023 Béghin G, Markovits H.
europepmc +1 more source