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Optimization of the ABCD formula for melanoma diagnosis using c4.5, a data mining system

4th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2004

作者： Andrews, Ron Bajcar, Stanislaw Grzymala-Busse, Jerzy W. Hippe, Zdzislaw S. Whiteley, Chris Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS66045 United States Regional Dermatology Center Rzeszow35-310 Poland Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS66045 United States Institute of Computer Science Polish Academy of Sciences Warsaw01-237 Poland Department of Expert Systems and Artificial Intelligence University of Information Technology and Management Rzeszow35-225 Poland

ISBN: (纸本)3540221174

Our main objective was to improve the diagnosis of melanoma by optimizing the ABCD formula, used by dermatologists in melanoma identification. In our previous research, an attempt to optimize the ABCD formula using the LEM2 rule induction algorithm was successful. This time we decided to replace LEM2 by C4.5, a tree generating data mining system. The final conclusion is that, most likely, for C4.5 the original ABCD formula is already optimal and no further improvement is possible. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Trees (mathematics)

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Diagnosis of melanoma using IRIM, a data mining system

Diagnosis of melanoma using IRIM, a data mining system

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7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004

作者： Grzymala-Busse, Jerzy W. Hamilton, Jay Hippe, Zdzislaw S. Department of Electrical Engineering University of Kansas Lawrence KS 66045 United States Institute of Computer Science Polish Academy of Sciences 01-237 Warsaw Poland Department of Expert Systems Univ. of Info. Technol. and Mgmt. 35-225 Rzeszow Poland

Melanoma is a very dangerous skin cancer. In this paper we present results of experiments on three melanoma data sets. Two data mining tools were used, a new system called IRIM (Interesting Rule Induction Module) and well established LEM2 (Learning from Examples Module, version 2), both are components of the same data mining system LERS (Learning from Examples based on Rough Sets). Typically IRIM induces the strongest rules that are possible for a data set. IRIM does not need any preliminary discretization or preprocessing of missing attribute values. Though performance of IRIM and LEM2 is fully comparable, IRIM provides an additional opportunity to induce unexpected and strong rules supplying an important insight helpful for diagnosis of melanoma.

关键词： Tumors

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Application of rough set based dynamic parameter optimization to MRI segmentation

Application of rough set based dynamic parameter optimizatio...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Widz D. Slezak K. Revett Department of Robotics and Multi-Agent Systems Polish-Japanese Institute of Information Technology Warsaw Poland Department of Computer Science University of Regina Regina Canada Department of Computer Science University of Luton Luton UK

We introduce a multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We use genetic algorithms to tune the parameterized attributes a... 详细信息

关键词： Magnetic resonance imaging Image segmentation Genetic algorithms Brain Histograms computer science Rough sets Alzheimer's disease Parkinson's disease Testing

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Communications for improving policy computation in distributed POMDPs

Communications for improving policy computation in distribut...

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Proceedings of the International Joint Conference on Autonomous Agents and Multiagent systems, AAMAS

作者： R. Nair M. Tambe M. Roth M. Yokoo Computer Science Department University of Southern California USA Robotics Institute Carnegie Mellon University USA Department of Intelligent Systems Kyushu University Japan

Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to jointly maximize a reward function. Since the problem of finding the optimal joint policy for a distributed POMDP has been shown to be NEXP-Complete if no assumptions are made about the domain conditions, several locally optimal approaches have emerged as a viable solution. However, the use of communicative actions as part of these locally optimal algorithms has been largely ignored or has been applied only under restrictive assumptions about the domain. In this paper, we show how communicative acts can be explicitly introduced in order to find locally optimal joint policies that allow agents to coordinate better through synchronization achieved via communication. Furthermore, the introduction of communication allows us to develop a novel compact policy representation that results in savings of both space and time which are verified empirically. Finally, through the imposition of constraints on communication such as not going without communicating for more than K steps, even greater space and time savings can be obtained.

关键词： Distributed computing Teamwork Uncertainty Observability Permission Multiagent systems Performance loss Humans

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Planar Spline Trajectory Following for an Autonomous Helicopter

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Journal of Advanced Computational Intelligence and Intelligent Informatics 2004年第3期8卷 237-242页

作者： Harbick, Kale Montgomery, James F. Sukhatme, Gaurav S. Robotic Embedded Systems Laboratory Center for Robotics and Embedded Systems Department of Computer Science University of Southern California Los AngelesCA90089-0781 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109-8099 United States

This paper proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system which stabilizes the robot and enforces trajectory following, has been implemented and tested on an autonomous helicopter. Results from two flight experiments are presented. The trajectory tracking error is on the order of the size of the robot (1.8 m). Given the inherent error in GPS positioning, and environmental disturbances (wind), this is quite reasonable. © Fuji Technology Press Ltd. Creative Commons CC BY-ND: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International License (http://***/licenses/by-nd/4.0/).

关键词： Unmanned aerial vehicles (UAV)

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Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle

Autonomous deployment and repair of a sensor network using a...

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IEEE International Conference on robotics and Automation (ICRA)

作者： P. Corke S. Hrabar R. Peterson D. Rus S. Saripalli G. Sukhatme CSIRO Manufacturing and Infrastructure Technology QLD Australia Center for Robotics and Embedded Systems University of Southern California Los Angeles CA USA Department of Computer Science Dartmouth College Hanover NH USA Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA

We describe a sensor network deployment method using autonomous flying robots. Such networks are suitable for tasks such as large-scale environmental monitoring or for command and control in emergency situations. We describe in detail the algorithms used for deployment and for measuring network connectivity and provide experimental data we collected from field trials. A particular focus is on determining gaps in connectivity of the deployed network and generating a plan for a second, repair, pass to complete the connectivity. This project is the result of a collaboration between three robotics labs (CSIRO, USC, and Dartmouth.).

关键词： Unmanned aerial vehicles Helicopters Robot sensing systems Mobile robots Network topology Remotely operated vehicles computer science Monitoring Ad hoc networks Aircraft navigation

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An overview of RoboCup-2002 Fukuoka/Busan

An overview of RoboCup-2002 Fukuoka/Busan

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作者： Asada, Minoru Obst, Oliver Polani, Daniel Browning, Brett Bonarini, Andrea Fujita, Masahiro Christaller, Thomas Takahashi, Tomoichi Tadokoro, Satoshi Sklar, Elizabeth Kaminka, Gal A. Dept. of Adaptive Machine Systems Osaka University Osaka Japan University of Koblenz-Landau Artificial Intelligence Group Koblenz Germany University of Hertfordshire Hertfordshire United Kingdom Robotics Institute Carnegie Mellon University Pittsburgh PA United States Department of Electronics Politecnico di Milano Milano Italy GMD-Japan Research Laboratory Kitakyushu Japan Department of Computer Engineering Kobe University Kobe Japan Computer Science Department Ber Ilan University Ramat Gan Israel Computer Science Department Carnegie Mellon University Pittsburgh PA United States

This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the largest RoboCup since 1997 and held the first humanoid league competition in the world. Further, the first ROBOTREX (robot trade and exhibitions) was held with about 50 companies, universities, and institutes represented. A total of 117,000 spectators witnessed this marvelous event, To the best of our knowledge, this was the largest robotic event in history.

关键词： Artificial intelligence

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Automatic face region tracking for highly accurate face recognition in unconstrained environments

Automatic face region tracking for highly accurate face reco...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Y.-O. Kim J. Paik Jingu Heo A. Koschan B. Abidi M. Abidi Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Image Processing Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville USA

We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identification of a human face. Conventional surveillance or security systems, however, usually provide poor image quality because they use only fixed cameras to record scenes passively. We have implemented a real-time surveillance system that tracks a moving face using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction with the PTZ. Color information in the ROI is updated to extract features for optimal tracking and zooming. FaceIt/sup /spl reg//, which is one of the most popular face recognition software packages, is evaluated and then used to recognize the faces from the video signal. Experimentation with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.

关键词： Face recognition Surveillance Real time systems Humans Cameras Intelligent systems Security Image quality Layout Low pass filters

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A neural approach to an attentive navigation for 3D intelligent virtual agents

A neural approach to an attentive navigation for 3D intellig...

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IEEE International Conference on systems, Man and Cybernetics

作者： M. Lozano J. Molina Artec Group Institute of Robotics. Computer Science Department University of Valencia Valencia Spain Neurotechnology Control and Robotics Group Engineering and Automatic Systems Department Politechnic University of Cartagena Spain

This paper presents an attempt to integrate attention and navigation skills in 3D embodied agents (virtual humanoids). The neural model presented has been divided in two main phases. Firstly the environment-categorization phase, where an online pattern recognition and categorization of the agent current sensory input data is carried out by an adaptive resonance driven self organizing neural network, which will finally simulate the agent's short term memory (STM). Secondly, the model must also learn how and when to map its current STM state into the navigation and attention motor layers of the 3D agent. We also review the world modelling and the agent vision system, and finally we present the first results extracted from two of the subsystems which conforms the complete neural model, such as, the environment categorization subsystem and the base navigation neural model.

关键词： Navigation Intelligent agent Intelligent robots robotics and automation Humans Graphics Virtual environment Machine vision computer science Augmented virtuality

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H/sub 2/ control for uncertain time-delay fuzzy systems

H/sub 2/ control for uncertain time-delay fuzzy systems

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IEEE International Conference on systems, Man and Cybernetics

作者： Huaping Liu Fuchun Sun Kezhong He Zengqi Sun Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Robotics Laboratory Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China

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