ppxscal/embedding_network huggingface dataset:
A framework for Bayesian network mapping
Authors: Rong Pan, Yun Peng
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 4 (2005)

This research is motivated by the need to support inference across multiple intelligence systems involving uncertainty. Our objective is to develop a theoretical framework and related inference methods to map semantically similar variables between separate Bayesian networks in a principled way. The work is to be conducted in two steps. In the first step, we investigate the problem of formalizing the mapping between variables in two separate BNs with different semantics and distributions as pair-wise linkages. In the second step, we aim to justify the mapping between networks as a set of selected variable linkages, and then conduct inference along it.
A threat analysis of RFID passports
Authors: Alan Ramos, Weina Scott, William Scott, Doug Lloyd, Katherine O'Leary, Jim Waldo
Venue: Communications of the ACM (2009)

Do RFID passports make us vulnerable to identity theft?
Grid Computing: Infrastructure, Service, and Applications, 1st edition
Authors: Lizhe Wang, Wei Jie, Jinjun Chen
Venue:  (2009)

Identifies Recent Technological Developments WorldwideThe field of grid computing has made rapid progress in the past few years, evolving and developing in almost all areas, including concepts, philosophy, methodology, and usages. Grid Computing: Infrastructure, Service, and Applications reflects the recent advances in this field, covering the research aspects that involve infrastructure, middleware, architecture, services, and applications.Grid Systems Across the GlobeThe first section of the book focuses on infrastructure and middleware and presents several national and international grid systems. The text highlights China Research and Development environment Over Wide-area Network (CROWN), several ongoing cyberinfrastructure efforts in New York State, and Enabling Grids for E-sciencE (EGEE), which is co-funded by the European Commission and the worlds largest multidisciplinary grid infrastructure today.The second part of the book discusses recent grid service advances. The authors examine the UK National Grid Service (NGS), the concept of resource allocation in a grid environment, OMIIBPEL, and the possibility of treating scientific workflow issues using techniques from the data stream community. The book describes an SLA model, reviews portal and workflow technologies, presents an overview of PKIs and their limitations, and introduces PIndex, a peer-to-peer model for grid information services.New Projects and InitiativesThe third section includes an analysis of innovative grid applications. Topics covered include the WISDOM initiative, incorporating flow-level networking models into grid simulators, system-level virtualization, grid usage in the high-energy physics environment in the LHC project, and the Service Oriented HLA RTI (SOHR) framework.With a comprehensive summary of past advances, this text is a window into the future of this nascent technology, forging a path for the next generation of cyberinfrastructure developers.
A Robust Lin-Buzo-Gray Algorithm in Data Vector Quantization
Authors: Liu Gang, Liu Jing, Wang Quan
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Vector quantization (VQ) is an effective means of data compression for it maps a set of real numbers into a single integer. In this paper, a coverage density based initial codebook generating mechanism is proposed to replace the random splitting method in Linde-Buzo-Gray algorithm (LBG). Coverage distortion and density of each codevector are calculated in the iteration step of LBG. In splitting step, only bad codevectors which with lower coverage density are split into two and invalid codevectors be deleted. Good codevectors, which with very higher coverage density, are insert to the new codebook without splitting. Experiment results show that the modification to LBG improves the robustness of LBG and the average distortion is also reduced up to 7% than LBG.
On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification
Authors: Eser Aygün, B. John Oommen, Zehra Cataltepe
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

Syntactic methods in pattern recognition have been used extensively in bioinformatics, and in particular, in the analysis of gene and protein expressions, and in the recognition and classification of bio-sequences. These methods are almost universally distance-based. This paper concerns the use of an Optimal and Information Theoretic (OIT) probabilistic model [11] to achieve peptide classification using the information residing in their syntactic representations. The latter has traditionally been achieved using the edit distances required in the respective peptide comparisons. We advocate that one can model the differences between compared strings as a mutation model consisting of random Substitutions, Insertions and Deletions (SID) obeying the OIT model. Thus, in this paper, we show that the probability measure obtained from the OIT model can be perceived as a sequence similarity metric, using which a Support Vector Machine (SVM)-based peptide classifier, referred to as OIT_SVM, can be devised.The classifier, which we have built has been tested for eight different "substitution" matrices and for two different data sets, namely, the HIV-1 Protease Cleavage sites and the T-cell Epitopes. The results show that the OIT model performs significantly better than the one which uses a Needleman-Wunsch sequence alignment score, and the peptide classification methods that previously experimented with the same two datasets.
Non-linear Rewrite Closure and Weak Normalization
Authors: Carles Creus, Guillem Godoy, Francesc Massanes, Ashish Tiwari
Venue: Proceedings of the 2009 24th Annual IEEE Symposium on Logic In Computer Science (2009)

A rewrite closure is an extension of a term rewrite system with new rules, usually deduced by transitivity. Rewrite closures have the nice property that all rewrite derivations can be transformed into derivations of a simple form. This property has been useful for proving decidability results in term rewriting. Unfortunately, when the term rewrite system is not linear, the construction of a rewrite closure is quite challenging. In this paper, we construct a rewrite closure for term rewrite systems that satisfy two properties: the right-hand side term in each rewrite rule contains no repeated variable (right-linear) and contains no variable at depth greater than one (right-shallow). The left-hand side term is unrestricted, and in particular, it may be non-linear. As a consequence of the rewrite closure construction, we are able to prove decidability of the weak normalization problem for right-linear right-shallow term rewrite systems. Proving this result also requires tree automata theory. We use the fact that right-shallow right-linear term rewrite systems are regularity preserving. Moreover, their set of normal forms can be represented with a tree automaton with disequality constraints, and emptiness of this kind of automata, as well as its generalization to reduction automata, is decidable.
Click: The Ultimate Photography Guide for Generation Now
Authors: Charlie Styr
Venue:  (2009)

Teens love to take pictures of their friends, their families, their dogs, their noses . . . now they can get serious with Click,the first how-to photography book written by teens for teens. The author is eighteen-year-old Charlie Styr, assisted by writer and photography editor Maria Wakem, and the book is illustrated with more than 150 photos taken by teen photographers around the world. After discovering basic equipment, composition, and lighting, readers explore 27 high-interest techniques, from portraits to action, macro, shooting at night, special effects, and more, with Styrs clear how-to advice plus sample photos by teens. Tips from new and established pros, including industry veteran Art Wolfe, Pulitzer Prize winner Vincent Laforet, National Geographic photographer David McLain, and celebrity photographer Chris Buck, bring great photographs totally within reach. Ready? Set? Click! 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
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning
Authors: Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Imbalanced data learning (IDL) is one of the most active and important fields in machine learning research. This paper focuses on exploring the efficiencies of four different SVM ensemble methods integrated with under-sampling in IDL. The experimental results on 20 UCI imbalanced datasets show that two new ensemble algorithms proposed in this paper, i.e., CABagE (which is bagging-style) and MABstE (which is boosting-style), can output the SVM ensemble classifiers with better minority-class-recognition abilities than the existing ensemble methods. Further analysis on the experimental results indicates that MABstE has the best overall classification performance, and we believe that this should be attributed to its more robust example-weighting mechanism.
A model to predict the optimal performance of the Hierarchical Data Grid
Authors: Junwei Zhang, Bu-Sung Lee, Xueyan Tang, Chai-Kiat Yeo
Venue: Future Generation Computer Systems (2010)

The Data Grid, as a specialization and extension of the Grid, has been adopted as the solution to solve data-intensive problems, such as high energy physics, life science and etc. Large data files are replicated across the Data Grid to improve the system performance. One form of the Data Grid studied is the Hierarchical Data Grid used in LHC experiments. There has been a lot of research work on replication algorithms for the Hierarchical Data Grid. It is important and useful to analyze the optimal performance, as it can be used as a benchmark to compare the performances of different replication algorithms and helps us to understand how good the replication algorithms are in approaching the optimal performance. In this paper, we construct a model to predict the optimal performance of the Hierarchical Data Grid. The performance metrics used for the model are average response time and average bandwidth cost. We propose the optimal replication algorithm and present a detailed analysis of its performance. The Multi-Tier Data Grid is used as a specific example of the Hierarchical Data Grid to verify our model. The performance of the proposed optimal replication algorithm is studied together with three well-known replication algorithms. The simulation results show that the optimal replication algorithm has the best performance and its performance is pretty close to the result obtained using our probabilistic model.
Cloud Computing Virtualization Specialist Complete Certification Kit - Study Guide Book and Online Course
Authors: Ivanka Menken, Gerard Blokdijk
Venue:  (2009)

The opportunities provided by Cloud Computing solutions allowed for significant growth within an industry that continues to mature and develop at a rapid pace. The primary goal of this book and course is to provide the quality education and support materials needed to enable the understanding and application of Cloud Computing in a wide-range of contexts. This comprehensive book is designed to complement the in-depth eLearn Virtualization Specialist program. The interactive eLearn course uses a combination of narrated PowerPoint presentations and multiple choice assessments which will ultimately prepare you for the Virtualization Specialist certification exam. IT professionals need to know a whole lot more about the various ways of delivering services to the customers and end-users. It is no longer sufficient just to know the differences between Windows based or Linux based architecture. These days, most services will utilize some form of Cloud Computing, be it virtualization or SaaS offerings. So with the change in computing and IT Service delivery comes a whole new series of qualifications and certification. The Cloud Computing Certification Scheme has been created to support the IT Professional who needs to be a 'niche generalist', especially in a rapidly changing area like Virtualization. First, you need to create the foundation - The Virtualization Specialist Program focuses on the fundamentals, general knowledge, terminology and BASIC concepts used in Virtualization. This program earns you 3 points toward your Cloud Computing Expert Certificate. This kit prepares you for the certification exam by offering valuable information on Virtualization application and Cloud Computing Certification. This Kit contains the book and online course access that provides everything you need to prepare for the Virtualization Specialist Certification Exam, including in-depth coverage of all exam objectives, scenarios to easily demonstrate the processes in action, and practice exam questions for that last minute test preparation. This Study Guide and Online Course access provides complete, in-depth coverage of all exam objectives for the Virtualization Specialist exam in a systematic approach, so you can be confident you're getting the instruction you need. * Real-world scenarios put what you've learned in the context of service solutions. * Thought provoking questions to challenge your thinking and understanding. * Exam Essentials in each chapter helps you zero in on what you need to know. * Includes practice exam questions * A Real World Guide to Virtualization Skills. * Key information and real world examples organized around the actual day-to-day tasks and challenges you'll face in the field of IT Management. * Practice what you've learned with challenging Virtualization Specialist exam style questions. Based on specific exam objectives - use this as a lab manual for certification preparation.
Assessing open source software as a scholarly contribution
Authors: Lou Hafer, Arthur E. Kirkpatrick
Venue: Communications of the ACM (2009)

Introduction Academic computer science has an odd relationship with software: Publishing papers about software is considered a distinctly stronger contribution than publishing the software. The historical reasons for this paradox no longer apply, but their legacy remains. This limits researchers who see the open-source software movement as an opportunity to make a scholarly contribution. Expanded definitions of scholarship acknowledge both application and discovery as important components.1 One obstacle remains: evaluation. To raise software to the status of a first-class contribution, we propose "best practices" for the evaluation of the scholarly contribution of open-source software. Typically, scholars who develop software do not include it as a primary contribution for performance reviews. Instead, they write articles about the software and present the articles as contributions. This conflation of articles and software serves neither medium well. An article describes an original intellectual contribution consisting of an idea, the argument for its importance and correctness, and supporting data. In contrast, software is more often an implementation of prior ideas in a usable form. It bridges the often considerable gap between an idea and the practical application of that idea. The original idea and its implementation represent distinct kinds of contribution. The critical gap is the perceived incomparability of these two contributions. Lacking a concise description adapted to the traditional practices of performance review committees, software is difficult to evaluate as a scholarly contribution and is often relegated to second-class status. We propose a framework for common assessment based on widely accepted definitions of scholarship. Within this general framework, we consider the material and procedures that a performance review committee uses to evaluate a publication. We then describe how software can be summarized in a compatible form of bibliographic citation and supplementary material.
Compressive Algorithms--Adaptive Solutions of PDEs and Variational Problems
Authors: M. Fornasier
Venue: Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII (2009)

This paper is concerned with an overview of the main concepts and a few significant applications of a class of adaptive iterative algorithms which allow for dimensionality reductions when used to solve large scale problems. We call this class of numerical methods Compressive Algorithms. The introduction of this paper presents an historical excursus on the developments of the main ideas behind compressive algorithms and stresses the common features of diverse applications. The first part of the paper is addressed to the optimal performances of such algorithms when compared with known benchmarks in the numerical solution of elliptic partial differential equations. In the second part we address the solution of inverse problems both with sparsity and compressibility constraints. We stress how compressive algorithms can stem from variational principles. We illustrate the main results and applications by a few significant numerical examples. We conclude by pointing out future developments. 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
Study on Relationship between Sound Wave and Temperature of Fault Diagnose of Liquid Transmission System
Authors: Dapeng Zou, Baihai Wu, Tibing Xiao, Jianjun Long
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Among impacts on fault diagnosis accuracy of many factors, fluid temperature plays an important role on the physical and mechanical properties such as modulus of elasticity, viscosity, and so much, thus affects the transmission of sound wave velocity and attenuation. By analyzing the fluid stress and strain relations under heat, wave propagation equation of fluid under heat is derived to study the fluid nature of sound wave spread with temperature varied. Sound attenuation coefficient and sound speed analytical expressions are solved with the temperature stability of the state, and some conclusions are gotten with calculations of the above expressions: the leak frequency range of 0 to 5000Hz has no effects on measurement precision of sound speed and attenuation; With temperature rising in the range of 0 to 30℃, the compressional wave velocity increases and the attenuation coefficient reduces; The effect of elastic modulus on the fluid acoustic properties is the largest in the state of temperature varied. Results of the study provide temperature compensation for fault diagnosis of fluid transmission pipeline system, so as to enhance the accuracy of diagnosis.
Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions, 1st edition
Authors: Mahbubur Syed, Mahbubur Syed
Venue:  (2009)

The emerging field of advanced distance education delivers academic courses across time and distance, allowing educators and students to participate in a convenient learning method. Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions demonstrates communication technologies, intelligent technologies, and quality educational pedagogy as the most essential requirements for advancing distance education for both teaching and learning. A significant research collection for the advancement of distance learning initiatives, this Premier Reference Source assists academicians, practitioners, and researchers in finding answers to important issues needing addressed for a successful distance education.
Research on Multi-Relational Classification Approaches
Authors: Peng Zhen, Lifeng Wu, Xiaoju Wang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

As an important task of multi-relational data mining, multi-relational classification can directly look for patterns that involve multiple relations from a relational database and have more advantages than propositional data mining approaches. According to the differences in knowledge representation and strategy, the paper researched three kind of multi-relational classification approaches that are ILP based, graph-based and relational database-based classification approaches and discussed each relational classification technology, their characteristics, the comparisons and several challenging researching problems in detail.
Homeomorphic Alignment of Edge-Weighted Trees
Authors: Benjamin Raynal, Michel Couprie, Venceslas Biri
Venue: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (2009)

Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape to a pre-specified tree model. Unfortunately, the tree representation can contain vertices that split limbs in multiple parts, which do not allow a good match by usual methods. To solve this problem, we propose a new alignment, taking in account the homeomorphism between trees, rather than the isomorphism, as in prior works. Then, we develop several computationally efficient algorithms for reaching real-time motion capture.
A text-based search interface for multimedia dialectics
Authors: Katerina Pastra, Eirini Balta
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

The growing popularity of multimedia documents requires language technologies to approach automatic language analysis and generation from yet another perspective: that of its use in multimodal communication. In this paper, we present a support tool for COSMOROE, a theoretical framework for modelling multimedia dialectics. The tool is a text-based search interface that facilitates the exploration of a corpus of audiovisual files, annotated with the COSMOROE relations.
Contracts Violation: Justification via Argumentation
Authors: Stefania Costantini, Arianna Tocchio, Panagiota Tsintza
Venue: Computational Logic in Multi-Agent Systems: 9th International Workshop, CLIMA IX, Dresden, Germany, September 29-30, 2008. Revised Selected and Invited Papers (2009)

An important field of application of intelligent logical agents, where rationality plays a main role, is that of automated negotiation. Our work is related to the use of argumentation in the field of negotiation. In particular, we are interested in contract violations, and in the construction of justifications to motivate the violation itself and recover if possible the contract on modified conditions. We propose a temporal modal logic language able to support and depict the arguments/justification used in dialectical disputes and we consider suitable algorithms and mechanisms to introduce and manage justifications.