ppxscal/embedding_network huggingface dataset:
Sequential pattern mining algorithm for automotive warranty data
Authors: Jirachai Buddhakulsomsiri, Armen Zakarian
Venue: Computers and Industrial Engineering (2009)

This paper presents a sequential pattern mining algorithm that allows product and quality engineers to extract hidden knowledge from a large automotive warranty database. The algorithm uses the elementary set concept and database manipulation techniques to search for patterns or relationships among occurrences of warranty claims over time. These patterns are represented as IF-THEN sequential rules, where the IF portion of the rule includes one or more occurrences of warranty problems at one time and the THEN portion includes warranty problem(s) that occur at a later time. Once sequential patterns are generated, the algorithm uses rule strength parameters to filter out insignificant patterns, so that only important (significant) rules are reported. Significant patterns provide knowledge of one or more product failures that leads to future product fault(s). The effectiveness of the algorithm is illustrated with the warranty data mining application from the automotive industry. A discussion on the sequential patterns generated by the algorithm and their interpretation for the automotive example are also provided.
Argument Based Moderation of Benefit Assessment
Authors: Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen
Venue: Proceeding of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference (2008)

Error rates in the assessment of routine claims for welfare benefits have been found to be very high in Netherlands, USA and UK. This is a significant problem both in terms of quality of service and financial loss through over payments. These errors also present challenges for machine learning programs using the data. In this paper we propose a way of addressing this problem by using a process of moderation, in which agents argue about the classification on the basis of data from distinct groups of assessors. Our agents employ an argument based dialogue protocol (PADUA) in which the agents produce arguments directly from a database of cases, with each agent having their own separate database. We describe the protocol and report encouraging results from a series of experiments comparing PADUA with other classifiers, and assessing the effectiveness of the moderation process.
Nonlinear and Adaptive Control with Applications, 1st edition
Authors: Alessandro Astolfi, Dimitrios Karagiannis, Romeo Ortega
Venue: Communications And Control Engineering (2008)

"Nonlinear and Adaptive Control with Applications" provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes. These algorithms cater for nonlinear systems with both parametric and dynamic uncertainties. This innovative strategy is illustrated with several examples and case studies from real applications. Power converters, electrical machines, mechanical systems, autonomous aircraft and computer vision are among the practical systems dealt with. Researchers working on adaptive and nonlinear control theory or on control applications will find this monograph of conspicuous interest while graduate students in control systems and control engineers working with electrical, mechanical or electromechanical systems can also gain much insight and assistance from the methods and algorithms detailed.
Computer Programming for Teens, 1st edition
Authors: Mary E. Farrell
Venue:  (2007)

Ready to learn computer programming but arent sure where to start? Look no further, Computer Programming for Teens is the book for you. Other books on programming tend to be language specific and often get bogged down in the syntax of the language. That is fine if you already have a strong background in programming, but if youre a novice, the language-specific approach can make things unnecessarily difficult. Computer Programming for Teens stresses concepts over language, but still includes examples in the most popular languagesspecifically HTML, C++, and Java. It begins by explaining the fundamental topics, like data storage, and progresses through to more complex topics, such as decisions, loops, design, and complex data structures. Written by a high school teacher, the book includes helpful tips and analogies to guide readers through the maze of programming techniques, concepts, and common pitfalls. It introduces the most relevant topics for beginners and pinpoints the essential skills needed for programming success. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A clustering-based fuzzy classifier
Authors: Isabela Drummond, Sandra Sandri
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

In this work we propose to use fuzzy prototypes for classification tasks. We create the prototypes by first clusterizing, separately, the available data for each class. Then we create a fuzzy set around each class center, according to clusterization indices that take into account both local and global data. We also investigate the use of an index to guide the process of obtaining a suitable number of clusters for posterior classification. We illustrate the approach using a simple example and show some results for some well-known data sets.
Developing a media space for remote synchronous parent-child interaction
Authors: Svetlana Yarosh, Stephen Cuzzort, Hendrik Müller, Gregory D. Abowd
Venue: Proceedings of the 8th International Conference on Interaction Design and Children (2009)

While supporting family communication has traditionally been a domain of interest for interaction designers, few research initiatives have explicitly investigated remote synchronous communication between children and parents. We discuss the design of the ShareTable, a media space that supports synchronous interaction with children by augmenting videoconferencing with a camera-projector system to allow for shared viewing of physical artifacts. We present an exploratory evaluation of this system, highlighting how such a media space may be used by families for learning and play activities. The ShareTable was positively received by our participants and preferred over standard videoconferencing. Informed by the results of our exploratory evaluation, we discuss the next design iteration of the ShareTable and directions for future investigations in this area.
Computing optimal randomized resource allocations for massive security games
Authors: Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, Milind Tambe
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theoretic methods to find optimal randomized security policies, including a fielded application at the Los Angeles International Airport (LAX). This approach has promising applications in many similar domains, including police patrolling for subway and bus systems, randomized baggage screening, and scheduling for the Federal Air Marshal Service (FAMS) on commercial flights. However, the existing methods scale poorly when the security policy requires coordination of many resources, which is central to many of these potential applications. We develop new models and algorithms that scale to much more complex instances of security games. The key idea is to use a compact model of security games, which allows exponential improvements in both memory and runtime relative to the best known algorithms for solving general Stackelberg games. We develop even faster algorithms for security games under payoff restrictions that are natural in many security domains. Finally, introduce additional realistic scheduling constraints while retaining comparable performance improvements. The empirical evaluation comprises both random data and realistic instances of the FAMS and LAX problems. Our new methods scale to problems several orders of magnitude larger than the fastest known algorithm.
Not so new: overblown claims for 'new' approaches to emotion
Authors: Dylan Evans
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

The non-classical thesis of emotion (NCE) states that the conceptual resources of classical cognitive science cannot adequately account for certain important features of emotion. It also states that these features can be adequately accounted for by employing the conceptual resources of non-classical forms of cognitive science. There is a general problem with all forms of NCE, since they all assume that classical cognitive science is too restrictive, when if anything the reverse is true. In fact, the relationship between classical and non-classical approaches to the study of emotion is much more fuzzy than NCE suggests. Though the two approaches use different terms of art, this does not grant one group privileged access to cognitive resources inaccessible to the other, but merely directs their attention to different features of the phenomena being studied. Thus the real contribution of non-classical models of emotion is to draw our attention to certain key aspects of emotion requiring explanation that had perhaps been somewhat neglected by classical models.
MCTS Self-Paced Training Kit (Exam 70-505): Microsoft .NET Framework 3.5 Windows Forms Application Development, 1st edition
Authors: Matthew A. Stoecker, Steven J. Stein
Venue:  (2009)

Announcing an all-new SELF-PACED TRAINING KIT designed to help maximize your performance on 70-505, the required exam for the new Microsoft Certified Technology Specialist (MCTS) certification for.NET Framework 3.5 Windows Forms Application Development. This 2-in-1 kit includes the official Microsoft study guide, plus practice tests on CD to help you assess your skills. It comes packed with the tools and features exam candidates want most including in-depth, self-paced training based on final exam content; rigorous, objective-by-objective review; exam tips from expert, exam-certified authors; and customizable testing options. It also provides real-world scenarios, case study examples, and troubleshooting labs for the skills and expertise you can apply to the job. Focusing on Windows Forms application development, this official study guide covers creating a UI using standard controls, integrating data, implementing printing and reporting, enhancing usability, implementing asynchronous programming techniques, deploying Windows Forms controls, and configuring and deploying applications. Work at your own pace through the lessons and lab exercises. Then assess yourself using 300+ practice and review questions on the CD, featuring multiple, customizable testing options to meet your specific needs. Choose timed or untimed testing mode, generate random tests, or focus on discrete objectives. You get detailed explanations for right and wrong answers including pointers back to the book for further study. You also get an evaluation version of Microsoft Visual Studio(r) 2008 software and an exam discount voucher making this kit an exceptional value and a great career investment.
IT Project Management Essentials, 2008 Edition
Authors: Larry Webber, Frederick Webber
Venue:  (2007)

Written by project management experts with decades of experience, IT Project Management Essentials is a hands-on resource that guides anyone assigned as a project manager through the process of designing, developing, and implementing an IT goal. IT Project Management Essentials provides proven techniques for scheduling and management along with the essential tools, such as stakeholder analysis and reports, for managing all along the way. Written in a practical how-to style and organized to give you fast access to specific information, this book not only explains the project management process but also takes you step-by-step through the implementation of any IT goal. IT Project Management Essentials delivers valuable, professional insights into every aspect of project management, including: Defining a Project; Task Planning and Sequencing; Schedule Development; Budget Development; Risk Analysis; Managing Stakeholders; Business Continuity Planning; Project Information Security; Legal Issues; and much more! IT Project Management Essentials keeps you alert to the important topics to look out for in any project. You'll find: Techniques for improving the quality of the project management process through the application of a Balanced Scorecard and Lean Six Sigma; An explanation of Design for Six Sigma (DFSS) and how it applies to both the project creation process as well as the product creation process; Complete coverage of disaster recovery/business continuity and how this can be built into both the project process as well as the final product; Complete coverage of information security and the issues that the project manager must consider during the design and execution of a project. This powerful tool can help you understand current concepts as well as all of today's most recent developments, including: PRINCE2 The UK Standard; Capability Measuring Model; Theory of Constraints; And more. PLUS, the entire content of IT Project Management Essentials is contained on your BONUS CD-ROM - every chapter, every chart, every form. This makes it easy to search for, find, and use what you need faster than ever.
AutoCAD 2008 Essentials Engineering, 1st edition
Authors: Munir Hamad
Venue:  (2007)

Unlike many AutoCAD competitors, this book covers only the basics and uses mixed units inches, meters, feet, kilometers, etc., to illustrate the myriad drawing and editing tools for this popular application. AutoCAD 2008 Essentials includes 21 workshops, that complete small projects from concept through actual plotting. Solving all of the workshops will simulate the creation of a real life project from beginning to end, without overlooking any of the basic commands and functions in AutoCAD 2008. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Neural network method to solve inverse problems for canopy radiative transfer models
Authors: A. N. Kravchenko
Venue: Cybernetics and Systems Analysis (2009)

Vegetation parameter retrieval is considered as the inverse of modeling canopy radiative transfer. To solve this problem, a new computationally efficient method based on mixture density networks (MDNs) is proposed to estimate the errors of retrieved parameters for each given set of reflectances. The properties of neural networks of traditional architecture and MDNs are considered. The method is tested using a simple model and the PROSPECT leaf radiative transfer model and is validated against real data.
A Comparative Analysis of different classes-interpretation support techniques
Authors: Karina Gibert, Alejandra Perez-Bonilla, Gustavo Rodriguez-Silva
Venue: Proceeding of the 2006 conference on Artificial Intelligence Research and Development (2006)

In this work, the application of some traditional statistical or AI techniques (Logistic Regression, Decision Trees and Discriminant Analysis) used to assist interpretation of a set of classes is presented together with a new methodology Conceptual characterization by embedded conditioning (CCEC)[7] based on combination of statistics and some knowledge induction. All of them are applied to a set of real data coming from a WasteWater Treatment Plant (WWTP) previously classified [8] to identify the characteristic situations that can be found in.
Technical Section: Content-aware model resizing based on surface deformation
Authors: Kun-Peng Wang, Cai-Ming Zhang
Venue: Computers and Graphics (2009)

Model resizing is a common operation when we adapt available models to suit different surrounding scenes. Uniform scaling is not ideal in such scenario, since it will result in loss of features and unwanted distortions. In this work, we propose a novel method for content-aware mesh resizing. Unlike uniform scaling, significant features can be well preserved after scaling. Compared with the seminal work by Kraevoy et al., our method does not need an auxiliary regular grid, and directly deforms the mesh models according to local sensitivity to geometric scaling. The method is efficient, easy-to-implement and produces reasonable scaling results.
Ontology-Based Formal Concept Differences Analysis in Radiology Report Impact by the Adoption of PACS
Authors: Telung Pan, Kwoting Fang
Venue: Proceedings of the 7th International Conference on Formal Concept Analysis (2009)

Following the advent of information technology and the rapid growth of its application in the medical field, the picture archiving and communication system (PACS) became very popular in mid- to large-scale hospitals. This study aimed to compare the concept lattice of radiology report content before and after the adoption of PACS. This study proposes a formal concept analysis process to produce different levels of ontological concepts from the radiology report. Ontology concept lattice diagrams are presented along with the correlation of concepts and their corresponding significance. The conceptual clustering method is applied to obtain a reasonable number of concepts. To find differences, the structure of ontology is compared in different phases by using a distance measurement. The study results showed a delicate change in radiology report terms before and after the adoption of the system. Given the quantitative analysis results, a qualitative-focused ethnography will be further conducted with several radiologists.
Appraisal Variance Estimation in the ART Testbed using Fuzzy Corrective Contextual Filters
Authors: Esteve del Acebo, Nicolás Hormazábal, Josep Lluís de la Rosa
Venue: Proceeding of the 2007 conference on Artificial Intelligence Research and Development (2007)

Trust modelling is widely recognized as an aspect of essential importance in the construction of agents and multi agent systems (MAS). As a consequence, several trust formalisms have been developed over the last years. All of them have, in our opinion a limitation: they can determine the trustworthiness or untrustworthiness of the assertions expressed by a given agent, but they don't supply mechanisms for correcting this information in order to extract some utility from it. In order to overcome this limitation, we introduce the concept of reliability as a generalization of trust, and present Fuzzy Contextual Corrective Filters (FCCF) as reliability modeling methods loosely based on system identification and signal processing techniques. In order to prove their usefulness, we study their applicability to the appraisal variance estimation problem in the Agent Reputation and Trust (ART) testbed.
Some numerical experiments on multi-criterion tabu programming for finding Pareto-optimal solutions
Authors: Jerzy Balicki
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

Decision making for complex systems is based on multi-criterion-optimization. A decision making support can be applied to find the Pareto solutions. Multi-criterion tabu programming is a new paradigm for that task. Similarly to rules applied in the genetic programming, tabu programming solves problems by using a tabu algorithm that modifies some computer programs. We consider the multi-criterion problem of task assignment, where both a workload of a bottleneck computer and the cost of system are minimized; in contrast, a reliability of the distributed system is maximized. Furthermore, there are constraints for the performance of the distributed systems and the probability that all tasks meet their deadlines. What is more, constraints related to memory limits and computer locations are imposed on the feasible task assignment. Finally, results of some numerical experiments have been presented.
Learning by Problem-Posing as Sentence-Integration and Experimental Use
Authors: Tsukasa Hirashima, Takuro Yokoyama, Masahiko Okamoto, Akira Takeuchi
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

In this paper, “problem-posing as sentence-integration” is proposed as a new design of learning using computer-based method. We also introduce an interactive learning environment for the problem-posing and report experimental use of the environment in elementary schools. We have already developed a computer-based learning environment for problem-posing as concept combination. However, we could understand that it was difficult for students of the lower grades. Problem-posing by sentence-integration is a framework to realize learning by problem-posing in the lower grades. Sentence-integration is a simple method than problem-posing by concept combination, but it is expected to keep the learning effect to refine problem schema. The learning environment was used by 132 second grade students of two elementary schools to examine whether the lower grade students can pose problems in the environment or not. The effect of refinement of problem schema by the problem-posing was also analyzed by pre-test and post-test with excessive information problems. The students and teachers who were observers of the experiment accepted the learning environment as a useful learning tool to realize learning by problem-posing through the questionnaires and additional comments. Although the results suggest the effect of refinement of problem schema by the problem-posing, it was only compared against a no instruction control condition. Therefore, as a future work, it is necessary to compare the learning against other instructions to examine its characteristics. tsukasa@isl.hiroshima-u.ac.jp
Bayesian Face Recognition Based on Markov Random Field Modeling
Authors: Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships between them are explored and encoded into a cost function derived based on a statistical model of MRF. Gabor wavelet coefficients are used as the base features, and relationships between Gabor features at different pixel locations are used to provide higher order contextual constraints. The posterior probability of matching configuration is derived based on MRF modeling. Local search and discriminate analysis are used to evaluate local matches, and a contextual constraint is applied to evaluate mutual matches between local matches. The proposed MRF method provides a new perspective for modeling the face recognition problem. Experiments demonstrate promising results.