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检索条件"机构=Pattern Analysis and Machine Intelligence Laboratory Systems Design Engineering"
79 条 记 录,以下是11-20 订阅
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Simulated Annealing with Opposite Neighbors
Simulated Annealing with Opposite Neighbors
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IEEE Symposium on Foundations of Computational intelligence, FOCI
作者: Mario Ventresca Hamid R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
This paper presents an improvement to the vanilla version of the simulated annealing algorithm by using opposite neighbors. This new technique, is based on the recently proposed idea of opposition based learning, as s... 详细信息
来源: 评论
Opposite Transfer Functions and Backpropagation Through Time
Opposite Transfer Functions and Backpropagation Through Time
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IEEE Symposium on Foundations of Computational intelligence, FOCI
作者: Mario Ventresca Hamid R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process to achieve high accuracy is high. While ma... 详细信息
来源: 评论
Opposition-Based Q(λ) with Non-Markovian Update
Opposition-Based Q(λ) with Non-Markovian Update
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IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, (ADPRL)
作者: Maryam Shokri Hamid R. Tizhoosh Mohamed S. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo ONT Canada Department of Electrical and Computer Engineering University of Waterloo ONT Canada
The OQ(λ) algorithm benefits from an extension of eligibility traces introduced as opposition trace. This new technique is a combination of the idea of opposition and eligibility traces to deal with large state space... 详细信息
来源: 评论
Search Difficulty of Two-Connected Ring-based Topological Network designs
Search Difficulty of Two-Connected Ring-based Topological Ne...
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IEEE Symposium on Foundations of Computational intelligence, FOCI
作者: Beatrice Ombuki-Berman Mario Ventresca Computer Science Department Brock University Saint Catharines ONT Canada Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
Ring-based network design problems have many important applications, especially in the fields of logistics and telecommunications. This paper focuses on the recently proposed two-connected network with bounded rings p... 详细信息
来源: 评论
Increasing object recognition rate using reinforced segmentation
Increasing object recognition rate using reinforced segmenta...
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2006 IEEE International Conference on Image Processing, ICIP 2006
作者: Sahba, Farhang Tizhoosh, Hamid R. Salama, Magdy M. A. Systems Design Engineering Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ON Canada Electrical and Computer Engineering Pattern Analysis and Machine Intelligence Laboratory University of Waterloo 200 University Ave W Waterloo ON Canada
In this paper a new approach to object extraction and recognition based on reinforcement learning is presented. We use this novel idea as a method to optimally segment the image and increase the recognition rate. The ... 详细信息
来源: 评论
Improving the convergence of backpropagation by opposite transfer functions
Improving the convergence of backpropagation by opposite tra...
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IEEE International Joint Conference on Neural Network
作者: Ventresca, Mario Tizhoosh, Hamid R. Pattern Analysis and Machine Intelligence (PAMI) Laboratory Systems Design Engineering Department University of Waterloo Waterloo ON N2L 3G1 Canada
The backpropagation algorithm is a very, popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately learn the task is considerable. Many ex... 详细信息
来源: 评论
Opposition-based Q(λ) algorithm
Opposition-based Q(λ) algorithm
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International Joint Conference on Neural Networks 2006, IJCNN '06
作者: Shokri, Maryam Tizhoosh, Hamid R. Kamel, Mohamed Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo 200 University Avenue West ON N2L 3G1 Canada Pattern Analysis and Machine Intelligence Laboratory Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West ON N2L 3G1 Canada
The problem of delayed reward in reinforcement learning is usually tackled by implementing the mechanism of eligibility traces. In this paper we introduce an extension of eligibility traces to solve one of the challen... 详细信息
来源: 评论
Modular-Based Classifier for Phoneme Recognition
Modular-Based Classifier for Phoneme Recognition
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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
作者: Abbas Ahmadi Fakhri Karray Mohamed Kamel Systems Design Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada Electrical and Computer Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada
This paper proposes a modular-based classifier for the problem of phoneme recognition. This is carried out by the use of a two-level classification approach including, high and low levels. We propose a new concept cal... 详细信息
来源: 评论
Opposition-Based Q(λ) Algorithm
Opposition-Based Q(λ) Algorithm
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International Joint Conference on Neural Networks (IJCNN)
作者: M. Shokri H.R. Tizhoosh M. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo ONT Canada Pattern Analysis and Machine Intelligence Laboratory Department of Electrical and Computer Engineering University of Waterloo ONT Canada
The problem of delayed reward in reinforcement learning is usually tackled by implementing the mechanism of eligibility traces. In this paper we introduce an extension of eligibility traces to solve one of the challen... 详细信息
来源: 评论
Fuzzy reinforcement learning for embedded soccer agents in a multi-agent context
Fuzzy reinforcement learning for embedded soccer agents in a...
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作者: Tehrani, A.M. Kamel, M.S. Khamis, A.M. Pattern Analysis and Machine Intelligence Lab. Electrical and Computer Engineering Department University of Waterloo Waterloo Ont. N2L 3G1 Canada Mechanical Engineering Department University of Waterloo Canada Department of Cooperative Intelligent Systems Canada Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Canada Department of Systems Engineering and Automation Carlos III University of Madrid Spain
The work presented in this paper aims at combining fuzzy function approximation and reinforcement learning in order to create robotic soccer agents that are able to coordinate their behaviours locally and socially whi... 详细信息
来源: 评论