Results 21 to 30 of about 7,967,373 (246)
Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
core +1 more source
IEEE Access, 2020 The sensor-based human activity recognition has been wildly applied in behavior tracking, health monitoring, indoor localization etc. Using activity continuity to assist activity recognition is an important research issue, in which the activity ...
Changhai Wang +5 more
doaj +1 more source
IEEE Access, 2022 Introducing parameter constraints has become a mainstream approach for learning Bayesian network parameters with small datasets. The QMAP (Qualitative Maximum a Posteriori) estimation has produced the best learning accuracy among existing learning ...
Ruohai Di +3 more
doaj +1 more source
Efektivitas Model Project Based Learning Terhadap Hasil Belajar Siswa di SMAN 2 Kayuagung: Efektivitas, Project Based Learning, Hasil Belajar, SMAN 2 Kayuagung [PDF]
, 2023 This research serves to determine the effectiveness of the Project Based Learning (Pjbl) model on student learning outcomes at SMAN 2 Kayuagung. This type of research is qualitative research, namely analyzing the effectiveness of the Project Based ...
Mei, Mei, Safitri, Sani
core +1 more source
Active learning BSM parameter spaces
European Physical Journal C: Particles and Fields, 2023 Active learning (AL) has interesting features for parameter scans of new models. We show on a variety of models that AL scans bring large efficiency gains to the traditionally tedious work of finding boundaries for BSM models.
Mark D. Goodsell, Ari Joury
doaj +1 more source
Construction and Reasoning Approach of Belief Rule-Base for Classification Base on Decision Tree
IEEE Access, 2020 The classical belief rule-based (BRB) systems are usually constructed by arranging and combining referential values of antecedent attributes or by setting special fixed values, which can lead to overly large size of BRB systems in complex problems.
Yanggeng Fu +4 more
doaj +1 more source
Deep Learning Based Cognitive Radio Modulation Parameter Estimation
IEEE Access, 2023 Automatic Modulation Classification (AMC) is a critical issue in electromagnetic spatial perception. Currently traditional recognition techniques are difficult to adapt to complex signal situations.
Wenxuan Ma, Zhuoran Cai
doaj +1 more source
Research on Intelligent Maneuvering Decision-Making in Close Air Combat Based on Deep Q Network [PDF]
Hangkong bingqi, 2023 Aiming at the problem of UCAV maneuvering decision-making in close air combat, the design of reinforcement learning reward function and the selection of hyper-parameters are studied based on the framework of deep Q network algorithm.
Zhang Tingyu, Sun Mingwei, Wang Yongshuai, Chen Zengqiang
doaj +1 more source
The use of Bayesian network in analysis of urban intersection crashes in China
Transport, 2015 Traffic fatalities and injuries on urban roads especially at urban intersections constitute a growing problem in China. This study aims at researching urban intersection crashes in China and drawing conclusions by using hierarchical structured data with ...
Jinbao Zhao, Wei Deng
doaj +1 more source
Adaptive Neuro-Fuzzy Fusion of Multi-Sensor Data for Monitoring a Pilot’s Workload Condition
Sensors, 2019 To realize an early warning of unbalanced workload in the aircraft cockpit, it is required to monitor the pilot’s real-time workload condition. For the purpose of building the mapping relationship from physiological and flight data to workload, a ...
Xia Zhang +4 more
doaj +1 more source