Cross-validation is commonly used to estimate machine learning model performance on new samples. However, using it for both hyperparameter selection and error estimation can lead to overestimating model performance, e...
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ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
Cross-validation is commonly used to estimate machine learning model performance on new samples. However, using it for both hyperparameter selection and error estimation can lead to overestimating model performance, especially with extensive hyperparameter searches that overly tailor models to validation data. We demonstrate that deep learning further amplifies this bias, with even minor model adjustments causing significant overestimation. Our extensive experiments on simulated and real data focus on the bias from early stopping during cross-validation. We find that overestimation intensifies with network depth and is especially severe in small datasets, which are common in physiological signal processing applications. Selecting the early stopping point during cross-validation can result in ROC-AUC estimates exceeding 90% on random data, and this effect persists across various sample sizes, architectures, and network sizes 1 .
Wheeled bipedal robot(WBR) fully combines the advantages of wheeled robot and legged robot, which enables it to adapt to more complex terrains and complete more challenging tasks. Therefore, WBR has been widely resear...
Wheeled bipedal robot(WBR) fully combines the advantages of wheeled robot and legged robot, which enables it to adapt to more complex terrains and complete more challenging tasks. Therefore, WBR has been widely researched in recent years. However, at the same time, due to its under-actuation, nonlinearity, and instability characteristics, the balance control of WBR is a difficult problem. In this paper, a reinforcement learning(RL) algorithm based on path integral is ***, the relationship between path integral and stochastic optimal control is analyzed, and the numerical solution of stochastic dynamical systems is obtained. Second, the solution framework is extended to a parameter update strategy of RL. Since the matrix inversion and gradient calculation are avoided during the strategy update process, the training is accelerated. Third,a model-based Lyapunov method is introduced to parameterize the control variables, which not only ensures the stability of the system in training, but also guarantees good performance of the system when applying simulation results to actual *** results show that the proposed method has satisfactory balance control performance and can effectively resist external disturbances.
Due to its safety and endurance, the indoor blimp robot is an ideal choice for cruise monitoring and inspection. In order to adapt to the complex indoor scene, a helium-filled blimp is studied in this paper. The dynam...
Due to its safety and endurance, the indoor blimp robot is an ideal choice for cruise monitoring and inspection. In order to adapt to the complex indoor scene, a helium-filled blimp is studied in this paper. The dynamic model of the aerial robot is established by using Newton Euler equation, and the main characteristics are then analyzed based on the derived ***, the linear quadratic regulator controller is designed to control the airship motion in the vertical plane. Based on the model, a simulation platform is constructed for further analysis and controller verification. Finally, simulation results are presented to show the correctness of the dynamic model.
Although facial expression recognition (FER) has a wide range of applications, it may be difficult to achieve under local occlusion conditions which may result in the loss of valuable expression features. This issue h...
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Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist...
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Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.
Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs require...
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The traditional measurement method of the load swing angle for the bridge crane is easily disturbed by the environmental noise, which leads to inaccurate measurement and delayed feedback. In this paper, the computer v...
The traditional measurement method of the load swing angle for the bridge crane is easily disturbed by the environmental noise, which leads to inaccurate measurement and delayed feedback. In this paper, the computer vision method is used to realize the non-contact measurement of the load swing angle. A rectangular light source is used as a marker and it is detected using an industrial camera. In order to improve the accuracy and real-time performance of the detection, the method of color separation combined with rectangular contour detection is used to quickly identify the marker. Then the swing angle is calculated according to the recognition results by using the camera geometry. It has been demonstrated by experiments that, the algorithm can quickly identify the marker and can accurately calculate the swing angle. In particular, the proposed method has strong independence and anti-interference ability, which is very suitable for bridge crane system.
The article notices rare simulation implementations of multiple flapping wing vehicles(FWVs) with the complicate mechanisms, aerodynamics, and control systems. Moreover, we expect that one can research FWV flight by C...
The article notices rare simulation implementations of multiple flapping wing vehicles(FWVs) with the complicate mechanisms, aerodynamics, and control systems. Moreover, we expect that one can research FWV flight by CAD model import,joint connection, and parameter setup. Therefore, we establish a general and simple simulation platform framework based on MATLAB/Simulink with Simscape Multibody Toolbox for FWV mechanism, aerodynamics, and formation control for hovering or forward flight. Inspired by Purdue Hummingbird design, we provided simplified flapping wing aerodynamics with passive rotation, virtual environment interaction, adaptive cascade control, and consensus formation algorithms in the MATLAB integration platform. This work is fundamental for the verification of research, and useful for the improvement of mechanic design,actuator selection, and control algorithms of the ontology or swarm thanks to its compatibility.
Industrial automation is a rapidly evolving field that aims to improve efficiency, productivity, and safety in various verticals. The integration of sensing and communication technologies has become crucial in this au...
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This research investigates the interplay between Dynamic Game Difficulty Balancing (DGDB) and Game User Experience (GUX) within the realm of puzzle gaming. The primary objective was to examine how DGDB influences user...
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