ppxscal/embedding_network huggingface dataset:
Combining Old-Fashioned Computer Go with Monte Carlo Go
Authors: Florin Chelaru, Liviu Ciortuz
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

In this paper we discuss the idea of combining old-fashioned Computer Go with Monte Carlo Go. We introduce an analyze-after approach to random simulations. We also briefly present the other features of our present Monte Carlo implementation with Upper Confidence Trees. We then explain our approach to adding this implementation as a module in the GNU Go 3.6 engine, and finally show some preliminary results of the entire work, ideas for future work and conclusions.
Learning the scope of negation in biomedical texts
Authors: Roser Morante, Anthony Liekens, Walter Daelemans
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

In this paper we present a machine learning system that finds the scope of negation in biomedical texts. The system consists of two memory-based engines, one that decides if the tokens in a sentence are negation signals, and another that finds the full scope of these negation signals. Our approach to negation detection differs in two main aspects from existing research on negation. First, we focus on finding the scope of negation signals, instead of determining whether a term is negated or not. Second, we apply supervised machine learning techniques, whereas most existing systems apply rule-based algorithms. As far as we know, this way of approaching the negation scope finding task is novel.
SkyF2F: Censorship Resistant via Skype Overlay Network
Authors: Shoufeng Cao, Longtao He, Zhongxian Li, Yixian Yang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Internet censorship is on the rise as an increasing number of countries and companies block or monitor access to parts of the Internet. Many censorship resistant systems have been proposed, which rely on deploying many access points to the censored domain. Therefore they face the problem of discovering available nodes and deploying a large number of nodes. Opposite to many access point approach, we present a system building on existing overlay network, a low-cost solution for circumventing Internet, called SkyF2F. SkyF2F is a plug-in for Skype client that allows users to establish a covert communication tunnel across Skype overlay network. We describe the design, a prototype implementation and security analysis of SkyF2F. Our security analysis shows that SkyF2F can successfully circumvent several sophisticated censoring techniques.
Mining the Dynamics of Music Preferences from a Social Networking Site
Authors: Nico Schlitter, Tanja Falkowski
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study is to determine the music preferences of people and to observe how the taste in music changes over time. Over a period of 130 weeks, we extract for each interval user profiles of 1,800 users that represent their music listening behavior. By building and incrementally clustering a graph of similar users, we obtain groups of people with similar music preferences. We label these clusters with genres according to the user profiles of the cluster members. Due to the incremental nature of DENGRAPH we show how clusters evolve over time. Besides the growth and decrease of clusters we observe how new clusters emerge and old clusters die. Furthermore, we show the merge and split of clusters. The results of our experiments indicate that DENGRAPH is particularly useful to efficiently detect groups of similar users and to track them over time.
Analysis of Coupling Mechanism between Network Competency and Cooperative Innovation
Authors: Baoshan Ge, Guotao Liu
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Co-productivity is a more operational role by suppliers, distributors and customers in which they undertake tasks that hitherto were the role of other channel/chain participants. In this paper, we review the extant researches about network competency and cooperative innovation, at the same time we connect the network competency and cooperative innovation together, and build a coupling model. We find the connection between firm and network actors could facilitate company’s cooperative innovation, at the meanwhile the outcomes of cooperative innovation also benefit firm’s network management competence. We conclude there are some coupling mechanisms on network competence and cooperative innovation between firms, network competence and cooperative innovation between firms and institutes, as well as network competence and cooperative innovation between firms and leader users. The future research will be given in the final section.
The Research on EEG Coherence Around Central Area of Left Hemisphere According to Grab Movement of Right Hand
Authors: Mincheol Whang, Jincheol Woo, Jongwha Kim
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

This study is to find significant EEG coherence for predict movement. Eight students were asked to visuo-motor task and their EMG at flexor carpi radialis of right hand and EEG at C3 and 4 orthogonal points 2.5 cm away from C3 were measured. EEG coherence between non-motor area and motor area and between motor areas were analyzed based on movement duration calculated from EMG activation, movement delay and coherence delay. In the results, most participants showed significant coherence between sensory or frontal and motor area discriminating movement and non-movement. However, there were individual differences in areas and frequency band showing significant coherence.
EpiC: A Resource for Integrating Information and Analyses to Enable Selection of Epitopes for Antibody Based Experiments
Authors: Niall Haslam, Toby Gibson
Venue: Proceedings of the 6th International Workshop on Data Integration in the Life Sciences (2009)

EpiC is a web resource for choosing epitopes for use in antibody based experiments. It integrates a suite of tools to identify the subsequence of a target protein that a binder interacts with. Where the binder is an antibody this subsequence is termed an epitope, i.e. the region of a protein that an antibody specifically recognises. EpiC is part of the Europe-wide project ProteomeBinders, thats aims to develop a resource of binding molecules for the entire Human Proteome. EpiC has a simple interactive web interface that provides experimentalists with an integrated suite of bioinformatic tools and annotation information. Crucially this neither requires the user to download any specialist software nor develop scripting tools.Given the diversity of applications for affinity reagents, it is important that the resource provides relevant information dependent on the type of experiment being carried out. It is important to note that researchers often require multiple different binders for one protein and different binders for use in different experiments. EpiC achieves access to these wide range of tools using state of the art methods of data integration. Webservices and REST interfaces such as the Distributed Annotation System are used to deliver the information to the user. These ensure that the latest versions of the analysis software and annotation are displayed to the user, relieving the user of the need to keep up to date with the latest databases and software.
Evaluation of Cylindricity Error Based on an Improved GA with Uniform Initial Population
Authors: Hu Lin, Yong Peng
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Cylindrical feature has become one of the most important features in mechanical designs. This paper presents the mathematical definition of cylindricity tolerance and mathematical model for cylindricity error evaluation. An intelligent evaluation method is provided for the evaluation of cylindricity error in this paper and the innovation can be stated as follows. Firstly, instead of considering partial components of the directional vector only, this algorithm proposed takes all the components of directional vector of the axis of cylinder into consideration. Secondly, for making the genetic algorithm converge fast, an improved genetic algorithm with uniform initial population was proposed to find the optimization of the error of cylindricity. The proposed algorithm is efficient and easy to code, and the experiment results indicate its effectiveness.
Optimal motor control may mask sensory dynamics
Authors: Sean G. Carver, Tim Kiemel, Noah J. Cowan, John J. Jeka
Venue: Biological Cybernetics (2009)

Properties of neural controllers for closed-loop sensorimotor behavior can be inferred with system identification. Under the standard paradigm, the closed-loop system is perturbed (input), measurements are taken (output), and the relationship between input and output reveals features of the system under study. Here we show that under common assumptions made about such systems (e.g. the system implements optimal control with a penalty on mechanical, but not sensory, states) important aspects of the neural controller (its zeros mask the modes of the sensors) remain hidden from standard system identification techniques. Only by perturbing or measuring the closed-loop system &#x201c;between&#x201d; the sensor and the control can these features be exposed with closed-loop system identification methods; while uncommon, there exist noninvasive techniques such as galvanic vestibular stimulation that perturb between sensor and controller in this way.
Trust Enhanced Authorization for Mobile Agents
Authors: Chun Ruan, Vijay Varadharajan
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

Trust has been recognized as an important aspect for mobile agent security. In this paper, we develop a logic based trust model which enables the capturing of a comprehensive set of trust relationships to enhance the security of conventional access control mechanisms in a mobile based applications. We first discuss the notion of trust and its relevance to mobile agent security. Next we define a logic program based language to facilitate the modelling process. To enforce the security related trustworthy behaviours, we then define a set of general rules to capture the semantics. Finally, the language is applied in a mobile agent context to demonstrate how the trust can be explicitly modelled and reasoned about to support better security decisions for the mobile agent based systems.
Analyses on Wheel-Rail Contact Using Finite Element Method during Passing through Curved Track
Authors: Li Ping Sun, Jian Zhang, Jun Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The three-dimensional elastic frictional finite element model of the wheel/rail interaction is put forward to investigate effect of the curve radius and superelevation on the contact stress and contact force of the rail. The interaction between left and right wheels is considered. The rail model includes 60kg/m standard rail, sleeper, rail fastening, rubber tie plate and ballast bed. The elastic frictional contact problem is solved with finite element software JIFEX developed by state key laboratory of structural analysis for industrial equipment, dalian university of technology. The finite element method can avoid half-space assumption of Hertz method and non-Hertz method and accurately simulate the real geometry and the boundary condition of the wheel/rail. The numerical results indicate that the curve radius and super- elevation significantly effect contact stress and contact force distributions.
A Simulation of Gas Migration in Heterogeneous Goaf of Fully Mechanized Coal Caving Mining Face Based on Multi-components LBM
Authors: Qiu-qin Lu, Guang-qiu Huang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Gas migration in a goaf is the cause of upper corner gas over limit which greatly influences coal mining safety. To explore gas migration law, this paper provides a Lattice Boltzmann (LB) simulation of gas migration in a heterogeneous goaf of a fully mechanized coal caving mining face. The goaf of a fully mechanized coal caving mining face is an area which fills with heterogeneous porous media and gas migration in it is complicated seepage movement which contains laminar, transitional and turbulent flow. Under the amended Brinkman-Forchheimer-Darcy law, this paper provides a control system which reflects the characters of gas migration law in a heterogeneous goaf of a fully mechanized coal caving mining face. Multi-components LBM is used to solve the complicated control system. Two Lattice Boltzmann Equations (LBEs) are constructed to simulate the atmosphere and gas seepage velocity field respectively. By the evolution of these two LB models, simulation results are gained. The simulation can produce many data such as speed, pressure and concentration in every time and space, thus we can get gas migration law directly. A case study showed: This method can combine time, space and system action together. It can simulate and analyze acutely the situation of gas migration in direct condition and provide an alterable method to reveal and control gas migration in an underground coal mine.
Feature Extraction Algorithm for Banknote Textures Based on Incomplete Shift Invariant Wavelet Packet Transform
Authors: Stefan Glock, Eugen Gillich, Johannes Schaede, Volker Lohweg
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

Segmentation and feature extraction algorithms based on Wavelet Transform or Wavelet Packet Transform are established in pattern recognition. Especially in the field of texture analysis they are known to be practical. One difficulty of texture analysis was in the past the characterization of different printing processes. In this paper we present a new algorithmic concept to feature extraction of textures, printed by different printing techniques, without the necessity of a previous teaching phase. The typical characters of distinct printed textures are extracted by first order statistical moments of wavelet coefficients. The algorithm uses the 2D incomplete shift invariant Wavelet Packet Transform, resulting in a fast execution time of O(Nlog2(N)). Since the incomplete shift invariant Wavelet Packet Transform was exclusively defined for 1D-signals, it has been modified in this research. The application describes the detection of different printed security textures.
SemEval-2010 task 14: evaluation setting for word sense induction & disambiguation systems
Authors: Suresh Manandhar, Ioannis P. Klapaftis
Venue: Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (2009)

This paper presents the evaluation setting for the SemEval-2010 Word Sense Induction (WSI) task. The setting of the SemEval-2007 WSI task consists of two evaluation schemes, i.e. unsupervised evaluation and supervised evaluation. The first one evaluates WSI methods in a similar fashion to Information Retrieval exercises using F-Score. However, F-Score suffers from the matching problem which does not allow: (1) the assessment of the entire membership of clusters, and (2) the evaluation of all clusters in a given solution. In this paper, we present the use of V-measure as a measure of objectively assessing WSI methods in an unsupervised setting, and we also suggest a small modification on the supervised evaluation.
Intention guided belief revision
Authors: Timothy William Cleaver, Abdul Sattar
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

This paper aims to investigate methodologies to utilize an agent's intentions as a means to guide the revision of its beliefs. For this purpose, we develop a collection of belief revision operators that employ the effect of the revision on the agent's intentions as the selection criteria. These operators are then assessed for rationality against the traditional AGM postulates. There is a large volume of work concerned with classical beliefrevision, the primary issue of which is the mitigation of the uncertainty inherent in environments in which belief revision is necessary. Traditional approaches attempt to assess the explanatory power of beliefs and utilize this as a heuristic to resolve this ambiguity. We argue that for practical reasoning systems, whose primary focus lies in the maintenance of behavior and not information, an agent's intentions provide a better guide.
Application Research of WebGIS in Resources Environment Management
Authors: Yi Zhang, Wu Yijing, Wen Jie Li, Han Wu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Under the foundation of setting forth the connotation of spatial information and the characteristic of the development of spatial information technology and WebGIS, the paper studies the main domain of WebGIS applied in the resources environment management and proposes that the application of WebGIS should be strengthened in the resources environment management.
Using labeled data to evaluate change detectors in a multivariate streaming environment
Authors: Albert Y. Kim, Caren Marzban, Donald B. Percival, Werner Stuetzle
Venue: Signal Processing (2009)

We consider the problem of detecting changes in a multivariate data stream. A change detector is defined by a detection algorithm and an alarm threshold. A detection algorithm maps the stream of input vectors into a univariate detection stream. The detector signals a change when the detection stream exceeds the chosen alarm threshold. We consider two aspects of the problem: (1) setting the alarm threshold and (2) measuring/comparing the performance of detection algorithms. We assume we are given a segment of the stream where changes of interest are marked. We present evidence that, without such marked training data, it might not be possible to accurately estimate the false alarm rate for a given alarm threshold. Commonly used approaches assume the data stream consists of independent observations, an implausible assumption given the time series nature of the data. Lack of independence can lead to estimates that are badly biased. Marked training data can also be used for realistic comparison of detection algorithms. We define a version of the receiver operating characteristic curve adapted to the change detection problem and propose a block bootstrap for comparing such curves. We illustrate the proposed methodology using multivariate data derived from an image stream.
A new algorithm for a recursive construction of the minimal interpolation space
Authors: D. Sbibih, A. Serghini, A. Tijini
Venue: Mathematics and Computers in Simulation (2009)

In this work, we introduce a new interpolation algorithm, based on a recursive method for computing Lagrange interpolants. This algorithm allows to construct recursively the minimal interpolation space (see [1]) with respect to a finite set of points. We also extend this recursive method to the osculatory interpolation problem.
RealActor: Character Animation and Multimodal Behavior Realization System
Authors: Aleksandra Cerekovic, Tomislav Pejsa, Igor S. Pandzic
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

In this paper we present RealActor, a character behavior realization system for embodied conversational agents based on the Behavior Markup Language (BML). Developed several years ago as part of the SAIBA framework, BML is an XML dialect for describing physical realizations of multimodal human behaviors. It allows modeling of complex communicative utterances which include both verbal and non-verbal behavior. BML elements represent various primitive actions (e.g. speech, facial and body gestures) and multimodal behavior can be modeled by specifying temporal relationships between these elements.
A feasible QP-free algorithm combining the interior-point method with active set for constrained optimization
Authors: Jin-bao Jian, Ran Quan, Wei-xin Cheng
Venue: Computers Mathematics with Applications (2009)

In this paper, by means of ''working set'' technique for determining the active set and the idea of primal-dual interior-point method, a new feasible QP-free algorithm for solving inequality constrained optimization problems is presented. At each iteration, the algorithm solves only three reduced systems of linear equations with common coefficient matrix. Moreover, the initial iteration point can be at constraint boundary and the coefficient matrix is uniformly nonsingular without the strict complementarity. We also prove that the proposed algorithm obtains global and superlinear convergence. At last, preliminary numerical results are reported.
Irrationality proof of certain Lambert series using little q-Jacobi polynomials
Authors: J. Coussement, C. Smet
Venue: Journal of Computational and Applied Mathematics (2009)

We apply the Pade technique to find rational approximations to h^+/-(q"1,q"2)=@?k=1~q"1^k1+/-q"2^k,0
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration
Authors: Nicholas J. Tustison, Suyash P. Awate, Gang Song, Tessa S. Cook, James C. Gee
Venue: Proceedings of the 21st International Conference on Information Processing in Medical Imaging (2009)

An essential component of many medical image analysis protocols is the establishment and manipulation of feature correspondences. These image features can assume such forms spanning the range of functions of individual or regional pixel intensities to geometric structures extracted as a preprocessing segmentation step. Many algorithms focusing on the latter set of salient features attempt to reduce these structures to such geometric primitives as surfaces, curves and/or points for correspondence-based study. Although the latter geometric primitive forms the basis of many of these algorithms, unrealistic constraints such as assumptions of identical cardinality between point-sets hinder general usage. Furthermore, the local structure for certain point-sets derived from segmentation processes is often ignored. In this paper, we introduce a family of novel information-theoretic measures for pooint-set registration derived as a generalization of the well-known Shannon entropy known as the Havrda-Charvat-Tsallis entropy. This divergence measure permits a fine-tuning between robustness and sensitivity emphasis. In addition, we employ a directly manipulated free-form deformation (DMFFD) transformation model, a recently developed variant of the well-known FFD transformation model.