ppxscal/embedding_network huggingface dataset:
Refining generative language models using discriminative learning
Authors: Ben Sandbank
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each iteration we generate 'false' sentences from the current model, and then train a classifier to discriminate between them and sentences from the training corpus. To the extent that this succeeds, the classifier is incorporated into the model by lowering the probability of sentences classified as false, and the process is repeated. We demonstrate the effectiveness of this approach on a natural language corpus and show it provides an 11.4% improvement in perplexity over a modified kneser-ney smoothed trigram.
A Case Study on the Supply-chain Reengineering Based on Information Integration of Logistics
Authors: Liwei Bao, Yuchi Huang, Jijiong Song, Yingguang Yang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

A case of supply chain reengineering based on logistics information integration has been studied on the background of tobacco industry of China in this paper. Under the framework of logistics information integration system, the problem of key data integration has been solved by integration of the digitalization management system of distribution centers and the information management system of logistics on the way etc. Based on the standardized workflow management, the data acquisition of distribution centers has been performed automatically. Supported by the logistics information integration system, supply chain reengineering of the tobacco industry has been proposed to develop the running mode of the supply chain from pattern of make-to-stock to pattern of make-to-order.
An Improved Angle-Based Crossover Tabu Search for the Larger-Scale Traveling Salesman Problem
Authors: Ning Yang, Xuan Ma, Ping Li
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

An angle-based crossover tabu search (CTS) has been presented by author of this paper in [1]. In this paper, an improved CTS is presented using the tabu- recorder, which record the tabu times of tabu-active attributes, to confirm new initial resolutions except the first cycle, and enlarge the global search, which is applied for the larger-scale traveling salesman problem (TSP). The key strategies of the improved CTS are intensification strategy, diversification strategy and tabu-recorder. The CTS implement the crossover operator of the genetic algorithm (GA) as the diversification strategy, and the strategy of selecting elite solutions as the intensification strategy. The tabu- recorder is another way of the diversification strategy, and used to confirm the initial routes with some constrains except in the first cycle. the improved CTS with the angel-based idea of sweep heuristic are used to solve twelve same TSP problems from VLSI TSP. The results showed the improved CTS have better performances than other algorithms.
Abstract Matrix Arithmetic
Authors: Alan P. Sexton, Volker Sorge, Stephen M. Watt
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

We present an approach to basic arithmetic between abstract matrices, i.e., matrices of symbolic dimension with underspecified components. We define a simple basis function that enables the representation of abstract matrices composed of arbitrary regions in a single term that supports matrix addition and multiplication by regular arithmetic on terms. This can, in particular, be exploited to obtain general arithmetic closure properties for classes of structured matrices. We also describe an approach using alternative basis functions that allow more compact expressions and admit additional arithmetic simplifications.
Lexcalised parsing of German V2
Authors: Yo Sato
Venue: Proceedings of the Workshop on Parsing German (2008)

This paper presents a method and implementation of parsing German V2 word order by means of constraints that reside in lexical heads. It first describes the design of the underlying parsing engine: the head-corner chart parsing that incorporates a procedure that dynamically enforces word order constraints. While the parser could potentially generate all the permutations of terminal symbols, constraint checking is conducted locally in an efficient manner. The paper then shows how this parser can adequately cover a variety of V2 word order patterns with sets of lexically encoded constraints, including non-local preposing of an embedded argument or an adverbial.
Participatory Human-Centered Design: User Involvement and Design Cross-Fertilization
Authors: Guy A. Boy, Nadja Riedel
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

Design and development of new instruments requires much attention with respect to safety, performance and comfort. Introducing new technology is a matter of taking care of past user experience on current technology and anticipating possible user experience on prototypes incrementally developed. The intricate spiral combination of prototyping and formative evaluations provides excellent support to include end-users in the design and development process. Human-centered design is also a combination of both analytical and user-centered (experimental) approaches. We cannot get rid of analyzing human-machine interaction using methods such as GOMS for example, and neither using professional design expertise. These methods provide an envelope of usability and usefulness issues; some are directly applicable, others issues require an experimental user-centered evaluation, i.e., real professional users are needed. Usability engineering is now very much used in industry and provides good results. Crucial problems are not technical any longer; they are financial, legal, social and finally relational. The various actors who will have an influence on the product being developed should participate. Participatory design enables to improve awareness of product attributes, i.e., what the product is really for, and how it should be made and used. A running example of the design of a new flight attendant panel to be included in the cabin of commercial aircraft is presented to support methodological claims and demonstrate approach soundness.
Sentence fusion via dependency graph compression
Authors: Katja Filippova, Michael Strube
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

We present a novel unsupervised sentence fusion method which we apply to a corpus of biographies in German. Given a group of related sentences, we align their dependency trees and build a dependency graph. Using integer linear programming we compress this graph to a new tree, which we then linearize. We use GermaNet and Wikipedia for checking semantic compatibility of co-arguments. In an evaluation with human judges our method outperforms the fusion approach of Barzilay & McKeown (2005) with respect to readability.
Parsing German with latent variable grammars
Authors: Slav Petrov, Dan Klein
Venue: Proceedings of the Workshop on Parsing German (2008)

We describe experiments on learning latent variable grammars for various German tree-banks, using a language-agnostic statistical approach. In our method, a minimal initial grammar is hierarchically refined using an adaptive split-and-merge EM procedure, giving compact, accurate grammars. The learning procedure directly maximizes the likelihood of the training treebank, without the use of any language specific or linguistically constrained features. Nonetheless, the resulting grammars encode many linguistically interpretable patterns and give the best published parsing accuracies on three German treebanks.
Empirical Comparison of Task Completion Time between Mobile Phone Models with Matched Interaction Sequences
Authors: Shunsuke Suzuki, Yusuke Nakao, Toshiyuki Asahi, Victoria Bellotti, Nick Yee, Shin'Ichi Fukuzumi
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

CogTool is a predictive evaluation tool for user interfaces. We wanted to apply CogTool to an evaluation of two mobile phones, but, at the time of writing, CogTool lacks the necessary (modeling baseline) observed human performance data to allow it to make accurate predictions about mobile phone use. To address this problem, we needed to collect performance data from both novice users' and expert users' interactions to plug into CogTool. Whilst novice users for a phone are easy to recruit, in order to obtain observed data on expert users' performance, we had to recruit owners of our two target mobile phone models as participants. Unfortunately, it proved to be hard to find enough owners of each target phone model. Therefore we asked if multiple similar models that had matched interaction sequences could be treated as the same model from the point of view of expert performance characteristics. In this paper, we report an empirical experimental exercise to answer this question. We compared identical target task completion time for experts across two groups of similar models. Because we found significant differences in some of the task completion times within one group of models, we would argue that it is not generally advisable to consider multiple phone models as equivalent for the purpose of obtaining observed data for predictive modeling.
Edutainment Games for Mobile Multimedia Museum Guidance Systems: A Classification Approach
Authors: Areti Damala
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

This paper proposes a first sketch on the state of the art regarding interactive edutainment games delivered through mobile multimedia museum guidance systems used in the context of a cultural visit. The goal is to identify current practices but also potential functional requirements, through the introduction of a first set of classification criteria emerging from a literature review of representative projects. The issue of related evaluation practices is also discussed.
Customer Churn Prediction for Broadband Internet Services
Authors: B. Q. Huang, M-T. Kechadi, B. Buckley
Venue: Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery (2009)

Although churn prediction has been an area of research in the voice branch of telecommunications services, more focused studies on the huge growth area of Broadband Internet services are limited. Therefore, this paper presents a new set of features for broadband Internet customer churn prediction, based on Henley segments, the broadband usage, dial types, the spend of dial-up, line-information, bill and payment information, account information. Then the four prediction techniques (Logistic Regressions, Decision Trees, Multilayer Perceptron Neural Networks and Support Vector Machines) are applied in customer churn, based on the new features. Finally, the evaluation of new features and a comparative analysis of the predictors are made for broadband customer churn prediction. The experimental results show that the new features with these four modelling techniques are efficient for customer churn prediction in the broadband service field.
Enabling Distributed Management for Dynamic Airborne Networks
Authors: Cho-Yu J. Chiang, Gary Levin, Shihwei Li, Constantin Serban, Michelle Wolberg, Ritu Chadha, Gregory Hadynski, Lee LaBarre
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

In this paper we describe our experience with integrating a distributed policy-based management system (DRAMA) with an open-source network management system (OpenNMS) 1 . Network operations seeking the benefits of policy-based network management often have pre-existing network monitoring systems. While these pre-existing systems are capable of monitoring the network, they are limited in their: 1) ability to provide distributed network management, 2)support for automatically reconfiguring the network in response to network events, and 3) ability to adjust management traffic bandwidth consumption based on network conditions. For dynamic networks such as those consisting of airborne platforms, there is a need to provide the above capabilities in any management solution while preserving any underlying management systems. As a result, we integrated DRAMA with OpenNMS to add distributed policy management capability to a commonly used network management system. In this paper, we describe the background for this effort, our approach for integrating OpenNMS with DRAMA, and the design of a distributed resource indirection framework that allows the use of the same policies across different distributed policy decision points managing network devices with different attribute values.
A new method and its application of handling fuzzy uncertainty of data in disaster risk assessment
Authors: Ye Xue, Chongfu Huang, Xuzhu Wang Huang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In this paper, for fuzzy uncertainty of data in disaster risk assessment, we suggest a method to granule the information. Its characteristics lie in exploiting the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better support with reality. Its operation is more simple and transparent compared with other methods. It provides an important theory and method to describe fuzzyuncertainty of data. In addition, theoretically, wediscuss the benefits of suggested method by their representations based on probability and rough set. And then, a simple application of estimating isoseismal area in disaster risk assessment fully demonstrates these advantages.
Hierarchical Vibrations: A Structural Decomposition Approach for Image Analysis
Authors: Karin Engel, Klaus D. Toennies
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

We present results demonstrating that using a hierarchy of finite element vibration modes in an evolutionary deformable shape search provides a new interesting approach for the localization and segmentation of specific objects in 2D images. The design and coupling of the different levels of the shape hierarchy results in a multi---resolution shape space, which can be exploited in top---down part---based shape matching. The proposed strategy allows for segmenting complex objects from images, classification, as well as localization of the desired object under occlusions. It avoids misregistration by resolving several drawbacks inherent to standard shape---based approaches, which either cannot adequately represent non---linear variations, or rely on exhaustive prior training.
Ballast Accidents Analysis and Evaluation of Urban Rail Transit Based on Method of Causality Analysis and Faulty Tree Analysis
Authors: Jing He, Zhi-gang Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Ballast casualty often incurs severe sequence once takes place, such as abnormal operation,, personnel injury or even death accident , especially for lines below grade. Causality Analysis and Fault Tree analysis method is applied to research of personnel injury and death accident along the track. The socio-economic loss is calculated by detail analysis to treatment process to the accident. The technical point on ballast accident is proposed using the two methods. And the policy to the accident process will be forward linking with the foreign experience and trend abroad. The result shows that the proposed method can analyze the practical effect and provide reasonable suggestions.
Extending Diabetic Retinopathy Imaging from Color to Spectra
Authors: Pauli Fält, Jouni Hiltunen, Markku Hauta-Kasari, Iiris Sorri, Valentina Kalesnykiene, Hannu Uusitalo
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

In this study, spectral images of 66 human retinas were collected. These spectral images were measured in vivo from 54 voluntary diabetic patients and 12 control subjects using a modified ophthalmic fundus camera system. This system incorporates the optics of a standard fundus microscope, 30 narrow bandpass interference filters ranging from 400 to 700 nanometers at 10 nm intervals, a steady-state broadband lightsource and a monochrome digital charge-coupled device camera. The introduced spectral fundus image database will be expanded in the future with professional annotations and will be made public.
Generic Construction of Stateful Identity Based Encryption
Authors: Peng Yang, Rui Zhang, Kanta Matsuura, Hideki Imai
Venue: Proceedings of the 12th International Conference on Information Security (2009)

The concept of stateful encryption was introduced by Bellare et al. in 2006. Compared with conventional public key encryption scheme, stateful encryption can achieve much better encryption performance. In this paper, we introduce a related primitive called stateful identity based key encapsulation mechanism (SIBKEM). SIBKEM is a simpler primitive, however, together with multi-time use IND-CCA secure symmetric encryption, it implies secure stateful identity based encryption. We then demonstrate there is a generic construction of SIBKEM from a wide class of identity based non-interactive key exchange schemes.
Design of Vehicle Test System for Construction Machinery
Authors: Xiaoxia Jiang, Shaofen Lin, Yeni Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

This design adopts host-low system structure, and applies wireless communication module to design the vehicle test system for construction machinery. The low system mainly consists of many single-chip microcontrollers, 16 bit high speed A/D converter, wireless communication module and LCD display and can realize the acceptance of acquisition orders, data acquisition, display of working state and wireless transmission of collected data; the host computer adopts LabVIEW graphic programmable software for development and finishes such functions as wireless transmission of collected orders, wireless acceptance of acquainted data, data and wave treatment, establishment of common data files and automatic generation of site test report.
Iterative Camera Motion and Depth Estimation in a Video Sequence
Authors: Françoise Dibos, Claire Jonchery, Georges Koepfler
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

This paper addresses the problem of the joint determination of camera motion parameters and scene depth information. A video sequence obtained by a one hand moving camera is the input. It is well known that the movement of a pixel between two consecutive images depends on the motion parameters and also on the depth of the projected point. Based on a camera motion estimation which uses the registration group and an energy minimization based on the Belief Propagation algorithm, we propose an iterative method combining camera motion and depth estimation.
Chemogenomics: Looking at biology through the lens of chemistry
Authors: Munikumar R. Doddareddy, Gerard J. P. van Westen, Eelke van der Horst, Julio E. Peironcely, Frans Corthals, Adriaan P. Ijzerman, Michael Emmerich, Jeremy L. Jenkins, Andreas Bender
Venue: Statistical Analysis and Data Mining (2009)

Chemogenomic approaches are gaining importance currently due to increased interest in the polypharmacology of drugs (i.e. their activity against multiple target proteins) and the ligand-side relationships between different targets. This is not least due to the availability of increasingly larger amounts of ligand bioactivity data in the public domain; PubChem or the recent announcement to make the former Inpharmatica StARLITe database available through the EBI-EMBL being only the two of the many examples of this development. In this work we firstly summarize recent advances in the chemogenomics area. In the second part of the article we present current primary research origination from our group. This addresses various topics from the chemogenomics field such as substructure mining and chemogenomics analyses of GPCR ligands; novel feature selection methods such as two-entropies analysis which are now translated from the bioinformatics into the chemogenomics field; as well as proteochemometric studies on subfamilies of G-protein-coupled receptors which not only take ligand and sequence information into account, but as a third variable are also able to consider quantitative activity values assigned to a ligand-receptor pair. Copyright &copy; 2009 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 2: 149&ndash;160, 2009
User Interface Adaptation of Web-Based Services on the Semantic Web
Authors: Nikolaos Partarakis, Constantina Doulgeraki, Asterios Leonidis, Margherita Antona, Constantine Stephanidis
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

The Web is constantly evolving into an unprecedented and continuously growing source of knowledge, information and services, potentially accessed at by anyone anytime, and anywhere. Yet, the current uptake rates of the Web have not really reached their full potential, mainly due to the design of modern Web-based interfaces, which fail to satisfy the individual interaction needs of target users with different characteristics. A common practice in contemporary Web development is to deliver a single user interface design that meets the requirements of an "average" user. However, this "average" user is in fact an imaginary user. Often, the profiles of a large portion of the population, and especially people with disability, elderly people, novice users and users on the move, differ radically. Although much work has been done in the direction of providing the means for the development of inclusive Web-based interfaces that are capable to adapt to multiple and significantly different user profiles, the current evolution towards the semantic web poses several new requirements and challenges for supporting user and context awareness. Building upon existing research in the field of semantics-based user modeling, this paper aims to offer potential new directions for supporting User Interface Adaptation on the Semantic Web. In this context, the benefits gained from supporting semantically enabled ontology based profiling are highlighted, focusing on the potential impact of such an approach to existing UI adaptation frameworks.
Mining the Structure and Evolution of the Airport Network of China over the Past Twenty Years
Authors: Zhengbin Dong, Wenjie Wu, Xiujun Ma, Kunqing Xie, Fengjun Jin
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

In this paper we study the Airport Network of China (ANC), which represents China's domestic civil aviation infrastructure, as a complex network. We mine the structure and evolution of ANC over the past twenty years by using the real aviation data in the year of 1984, 1993 and 2006. The main contributions can be summarized as three-fold: firstly, we analyze ANC by using the complex network analysis method and find that ANC is a typical small world network with high clustering coefficient and small diameter; secondly, we find that the evolution of ANC over the past twenty years meets the densification law and shrinking/stabilizing diameter law; lastly, some interesting patterns of airports in ANC are found by the visual data mining, such as Circle Pattern, Province Capital Pattern and Star Pattern.