ppxscal/embedding_network huggingface dataset:
On the nonexistence of asymptotically free solutions for a coupled nonlinear Schrödinger system
Authors: Vanilde Bisognin, Mauricio Sepúlveda, Octavio Vera
Venue: Applied Numerical Mathematics (2009)

We study the asymptotic behavior of the solution for the initial value problem for a coupled nonlinear Schrodinger system that describes some physical phenomena such as the propagation in birefringent optical fibers, Kerr-like photo refractive media in optics and Bose-Einstein condensates. First, we prove the nonexistence of asymptotically free solutions for the coupled nonlinear Schrodinger system following an idea of R. Glassey. Then, we show the asymptotic behavior of some numerical examples using a Crank-Nicolson scheme. This numerical scheme preserves the densities and the energy of the solution, and it is proved the convergence of its sequence of solutions.
ECUE: A Spam Filter that Uses Machine Learning to Track Concept Drift
Authors: Sarah Jane Delany, Pádraig Cunningham, Barry Smyth
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

While text classification has been identified for some time as a promising application area for Artificial Intelligence, so far few deployed applications have been described. In this paper we present a spam filtering system that uses example-based machine learning techniques to train a classifier from examples of spam and legitimate email. This approach has the advantage that it can personalise to the specifics of the user's filtering preferences. This classifier can also automatically adjust over time to account for the changing nature of spam (and indeed changes in the profile of legitimate email). A significant software engineering challenge in developing this system was to ensure that it could interoperate with existing email systems to allow easy managment of the training data over time. This system has been deployed and evaluated over an extended period and the results of this evaluation are presented here.
An object model for use in oral and written advocacy
Authors: Charles Unwin
Venue: Artificial Intelligence and Law (2008)

This paper describes the author's development and use of a diagramming model in preparing a legal case for which he was responsible. He combined Wigmorean analysis and object oriented techniques in order to model arguments based on generalisations taken from the real world and from legal precedent. The paper addresses the modelling issues, but in particular identifies the very real benefits that affected the way the case was conducted. Those areas in which the model came into its own were principally the structuring of evidence, the preparation for the cross-examination of witnesses, and ensuring a consistent approach from picking up the case to making the closing submissions.
Determining physiological cross-sectional area of extensor carpi radialis longus and brevis as a whole and by regions using 3D computer muscle models created from digitized fiber bundle data
Authors: Kajeandra Ravichandiran, Mayoorendra Ravichandiran, Michele L. Oliver, Karan S. Singh, Nancy H. McKee, Anne M. R. Agur
Venue: Computer Methods and Programs in Biomedicine (2009)

Architectural parameters and physiological cross-sectional area (PCSA) are important determinants of muscle function. Extensor carpi radialis longus (ECRL) and brevis (ECRB) are used in muscle transfers; however, their regional architectural differences have not been investigated. The aim of this study is to develop computational algorithms to quantify and compare architectural parameters (fiber bundle length, pennation angle, and volume) and PCSA of ECRL and ECRB. Fiber bundles distributed throughout the volume of ECRL (75+/-20) and ECRB (110+/-30) were digitized in eight formalin embalmed cadaveric specimens. The digitized data was reconstructed in Autodesk^(R) Maya^(R) with computational algorithms implemented in Python. The mean PCSA and fiber bundle length were significantly different between ECRL and ECRB (p@?0.05). Superficial ECRL had significantly longer fiber bundle length than the deep region, whereas the PCSA of superficial ECRB was significantly larger than the deep region. The regional quantification of architectural parameters and PCSA provides a framework for the exploration of partial tendon transfers of ECRL and ECRB.
Addressing the assessment challenge with an online system that tutors as it assesses
Authors: Mingyu Feng, Neil Heffernan, Kenneth Koedinger
Venue: User Modeling and User-Adapted Interaction (2009)

Secondary teachers across the United States are being asked to use formative assessment data (Black and Wiliam 1998a,b; Roediger and Karpicke 2006) to inform their classroom instruction. At the same time, critics of US government's No Child Left Behind legislation are calling the bill "No Child Left Untested". Among other things, critics point out that every hour spent assessing students is an hour lost from instruction. But, does it have to be? What if we better integrated assessment into classroom instruction and allowed students to learn during the test? We developed an approach that provides immediate tutoring on practice assessment items that students cannot solve on their own. Our hypothesis is that we can achieve more accurate assessment by not only using data on whether students get test items right or wrong, but by also using data on the effort required for students to solve a test item with instructional assistance. We have integrated assistance and assessment in the ASSISTment system. The system helps teachers make better use of their time by offering instruction to students while providing a more detailed evaluation of student abilities to the teachers, which is impossible under current approaches. Our approach for assessing student math proficiency is to use data that our system collects through its interactions with students to estimate their performance on an end-of-year high stakes state test. Our results show that we can do a reliably better job predicting student end-of-year exam scores by leveraging the interaction data, and the model based on only the interaction information makes better predictions than the traditional assessment model that uses only information about correctness on the test items.
A Statistical Approach for Detecting Tubular Structures in Myocardial Infarct Scars
Authors: Camille Vidal, Hiroshi Ashikaga, Elliot R. Mcveigh
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

The presence of an infarct scar in the heart generates abnormal electrical pathways that may trigger the occurrence of arrhythmic episodes. While precise models of the electric propagation in the heart have been proposed, we are just starting to observe and analyze infarct scars using high-resolution imaging techniques. Recent observations have shown that the scar is a highly heterogeneous tissue, characterized by a complex interface with surrounding myocardium. For instance, the infarct scar is perforated by tunnels of live tissue, which could generate abnormal activation pathways and therefore facilitate arrhythmia episodes. In order to characterize the role of such structures, we need to first delineate them. In this paper, we propose an automatic method for the detection of these tunnels of normal tissue through scars in high resolution MR images.
On distance rationalizability of some voting rules
Authors: Edith Elkind, Piotr Faliszewski, Arkadii Slinko
Venue: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (2009)

The concept of distance rationalizability has several applications within social choice. In the context of voting, it allows one to define ("rationalize") voting rules via a consensus class (roughly, a set of elections in which it is obvious who should win) and a distance function: namely, a candidate is said to be an election winner if it is ranked first in one of the nearest (with respect to the given distance) consensus elections. It is known that many classic voting rules can be represented in this manner. In this paper, we provide new results on distance rationalizability of several well-known voting rules such as all scoring rules, Approval, Young's rule and Maximin. We also show that a previously published proof of distance rationalizability of Young's rule is incorrect: the consensus notion and the distance function used in that proof give rise to a voting rule that is similar to---but distinct from---the Young's rule. Finally, we demonstrate that some voting rules cannot be rationalized via certain notions of consensus. To the best of our knowledge, these are the first non-distance-rationalizability results for voting rules.
Social network analysis: measuring symmetry of information flow in virtual learning groups
Authors: Hwee Ling Lim
Venue: Proceedings of the 2009 conference on Information Science, Technology and Applications (2009)

The sociocultural constructivist perspective regards interaction as vital to collaborative learning. In e-learning contexts, the quality of electronic educational discourse has been extensively analyzed for indications of information sharing and meaning negotiation with discourse and content analytical methods. Recently, the method of social network analysis (SNA) has been applied to the discourse of computer-mediated communication (CMC) supported learning groups. While research has mainly focused on network analysis of asynchronous CMC interaction, this study examines patterns of information flow in synchronous CMC exchanges of two virtual learning groups in terms of SNA measures of actor-node types and group reciprocity. The quantitative results from comparative group analysis reveal both higher reciprocity at group level and mutuality in information sharing at actor level in one group. These findings on the symmetry of information flow in virtual groups have implications for e-tutor facilitation of collaborative learning processes.
Patterns-based evaluation of open source BPM systems: The cases of jBPM, OpenWFE, and Enhydra Shark
Authors: Petia Wohed, Nick Russell, Arthur H. M. ter Hofstede, Birger Andersson, Wil M. P. van der Aalst
Venue: Information and Software Technology (2009)

In keeping with the proliferation of free software development initiatives and the increased interest in the business process management domain, many open source workflow and business process management systems have appeared during the last few years and are now under active development. This upsurge gives rise to two important questions: What are the capabilities of these systems? and How do they compare to each other and to their closed source counterparts? In other words: What is the state-of-the-art in the area?. To gain an insight into these questions, we have conducted an in-depth analysis of three of the major open source workflow management systems - jBPM, OpenWFE, and Enhydra Shark, the results of which are reported here. This analysis is based on the workflow patterns framework and provides a continuation of the series of evaluations performed using the same framework on closed source systems, business process modelling languages, and web-service composition standards. The results from evaluations of the three open source systems are compared with each other and also with the results from evaluations of three representative closed source systems: Staffware, WebSphere MQ, and Oracle BPEL PM. The overall conclusion is that open source systems are targeted more toward developers rather than business analysts. They generally provide less support for the patterns than closed source systems, particularly with respect to the resource perspective, i.e. the various ways in which work is distributed amongst business users and managed through to completion.
Co-Training on Handwritten Digit Recognition
Authors: Jun Du, Charles X. Ling
Venue: Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence (2009)

In this paper, we apply a semi-supervised learning paradigm -- co-training to handwritten digit recognition, so as to construct high-performance recognition model with very few labeled images. Experimental results show that, based on arbitrary two types of given features, co-training can always achieve high accuracy. Thus, it provides a generic and robust approach to construct high performance model with very few labeled handwritten digit images.
Our Americas archive partnership demonstration
Authors: Geneva Henry, Monica Rivero
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

The Our Americas Archive Partnership (OAAP) project is in year 2 of a 3-year IMLS funded grant led by Rice University in Partnership with the University of Maryland's Maryland Institute for Technology in the Humanities (MITH). Designed to meet the needs of American studies scholars researching the Americas from a hemispheric perspective, OAAP is developing an integrated framework for the discovery of digital resources that are managed in heterogeneous distributed repositories. This demonstration will show the current state of the project's common interface to support resource discovery.
Natural and Intuitive Multimodal Dialogue for In-Car Applications: The Sammie System
Authors: Tilman Becker, Nate Blaylock, Ciprian Gerstenberger, Ivana Kruijff-Korbayová, Andreas Korthauer, Manfred Pinkal, Michael Pitz, Peter Poller, Jan Schehl
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

We present SAMMIE, a laboratory demonstrator of an in-car showcase of a multimodal dialogue system developed in the TALK project TALK (Talk and Look: Tools for Ambient Linguistic Knowledge) www.talk-project.org is funded by the EU as project No. IST-507802 within the 6th Framework program. in cooperation between DFKI/USAAR/BOSCH/BMW, to show natural, intuitive mixed-initiative interaction, with particular emphasis on multimodal turn-planning and natural language generation. SAMMIE currently supports speech-centered multimodal access for the driver to a MP3-player application including search and browsing, as well as composition and modification of playlists. Our approach to dialogue modeling is based on collaborative problem solving integrated with an extended Information State Update paradigm. A formal usability evaluation of a first baseline system of SAMMIE by naive users in a simulated environment yielded positive results, and the improved final version will be integrated in a BMW research car.
Characterizing Web users' degree of Web 2.0-ness
Authors: I-Ping Chiang, Chun-Yao Huang, Chien-Wen Huang
Venue: Journal of the American Society for Information Science and Technology (2009)

Though practitioners have seen discussions and debates surrounding the &ldquo;Web 2.0&rdquo; concept for the last few years, we know little of Web users' heterogeneity in the usage of Web 2.0 applications, let alone the factors associated with such heterogeneity. In this article, we propose a Web user's degree of Web 2.0-ness to be measured by the weighted average of the degrees of Web 2.0-ness of the Web sites that he or she has visited. A Web site's degree of Web 2.0-ness in turn is evaluated through a series of binary criteria as to whether the site accommodates popular Web 2.0 applications. Utilizing clickstream data from an online panel coupled with expert scoring for the empirical analysis, we find that a Web user's degree of Web 2.0-ness is positively associated with his or her behavioral volume (measured by the number of page views), behavioral speed (measured by the duration of each page view), and behavioral concentration (measured by the Gini coefficient of page views the user made across Web sites). Furthermore, Web users who are younger and male are found to have a higher degree of Web 2.0-ness. &copy; 2009 Wiley Periodicals, Inc.
Program equilibria and discounted computation time
Authors: Lance Fortnow
Venue: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (2009)

Tennenholtz (GEB 2004) developed Program Equilibrium to model play in a finite two-player game where each player can base their strategy on the other player's strategies. Tennenholtz's model allowed each player to produce a "loop-free" computer program that had access to the code for both players. He showed a folk theorem where the result of any mixed-strategy individually rational play could be an equilibrium payoff in this model even in a one-shot game. Kalai et al. gave a general folk theorem for correlated play in a more generic commitment model. We develop a new model of program equilibrium using general computational models and discounting the payoffs based on the computation time used. We give an even more general folk theorem giving correlated-strategy payoffs down to the pure minimax of each player. We also show the existence of equilibrium in other games not covered by the earlier work.
An 802.11e HCCA scheduler with an end-to-end quality aware territory method
Authors: Jorge Navarro-Ortiz, Pablo Ameigeiras, Juan J. Ramos-Munoz, Juan M. Lopez-Soler
Venue: Computer Communications (2009)

In this paper we present a solution for the IEEE 802.11e HCCA (Hybrid coordination function Controlled Channel Access) mechanism which aims both at supporting strict real-time traffic requirements and, simultaneously, at handling TCP applications efficiently. Our proposal combines a packet scheduler and a dynamic resource allocation algorithm. The scheduling discipline is based on the Monolithic Shaper-Scheduler, which is a modification of a General Processor Sharing (GPS) related scheduler. It supports minimum-bandwidth and delay guarantees and, at the same time, it achieves the optimal latency of all the GPS-related schedulers. In addition, our innovative resource allocation procedure, called the territory method, aims at prioritizing real time services and at improving the performance of TCP applications. For this purpose, it splits the wireless channel capacity (in terms of transmission opportunities) into different territories for the different types of traffic, taking into account the end-to-end network dynamics. In order to give support to the desired applications, we consider the following traffic classes: conversational, streaming, interactive and best-effort. The so called territories shrink or expand depending on the current quality experienced by the corresponding traffic class. We evaluated the performance of our solution through extensive simulations in a heterogeneous wired-cum-wireless scenario under different traffic conditions. Additionally, we compare our proposal to other HCCA scheduling algorithms, the HCCA reference scheduler and Fair Hybrid Coordination Function (FHCF). The results show that the combination of the MSS and the territory method obtains higher system capacity for VoIP traffic (up to 32 users) in the simulated scenario, compared to FHCF and the HCCA reference scheduler (13 users). In addition, the MSS with the territory method also improves the throughput of TCP sources (one FTP application achieves between 6.1 Mbps without VoIP traffic and 2.1 Mbps with 20 VoIP users) compared to the reference scheduler (at most 388 kbps) and FHCF (with a maximum FTP throughput of 4.8 Mbps).
A fuzzy proposal to improve parametric DMC performance
Authors: Edinzo J. Iglesias, Oscar Camacho, Marco E. Sanjuán, Carlos A. Smith
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

This paper proposed a supervisor module to detect changes in process dynamic. The supervisor module uses regression equation and fuzzy logic to calculate changes in the characteristic process parameters: process gain, time constant and dead time. Once these parameters are calculated, they are sent to the PDMCr to update the process model. The Fuzzy Supervisor Module, determines changes in the process parameters, estimates the magnitude of the detected changes, and sends this information to the PDMCr adjusting the embedded model to the new operation conditions. A linear example is used to show how the approach works.
Professional DotNetNuke 5: Open Source Web Application Framework for ASP.NET
Authors: Shaun Walker, Brian Scarbeau, Darrell Hardy, Stan Schultes, Ryan Morgan
Venue:  (2009)

DotNetNuke creator Shaun Walker leads this superlative author team of MVPs while delivering the latest update of a bestseller. They offer complete coverage of the major revisions to DotNetNuke 5, such as more granular administration, widgets, XHTML compliance, improved social networking, workflow, and better content management. They thoroughly cover installing, configuring, administering, and developing modules for DotNetNuke. Youll learn portal and host administration, configuration in a hosted environment, developing and working with modules, designing a DotNetNuke portal with skins, integrating workflow in DotNetNuke, using DotNetNuke social networking tools, and much more.
A non-linear efferent-inspired model of the auditory system; matching human confusions in stationary noise
Authors: David P. Messing, Lorraine Delhorne, Ed Bruckert, Louis D. Braida, Oded Ghitza
Venue: Speech Communication (2009)

Current predictors of speech intelligibility are inadequate for understanding and predicting speech confusions caused by acoustic interference. We develop a model of auditory speech processing that includes a phenomenological representation of the action of the Medial Olivocochlear efferent pathway and that is capable of predicting consonant confusions made by normal hearing listeners in speech-shaped Gaussian noise. We then use this model to predict human error patterns of initial consonants in consonant-vowel-consonant words in the context of a Dynamic Rhyme Test. In the process we demonstrate its potential for speech discrimination in noise. Our results produced performance that was robust to varying levels of stationary additive speech-shaped noise and which mimicked human performance in discrimination of synthetic speech as measured by the Chi-squared test.