ppxscal/embedding_network huggingface dataset:
Combination of support vector machines using genetic programming
Authors: Abdul Majid, Asifullah Khan, Anwar M. Mirza
Venue: International Journal of Hybrid Intelligent Systems (2006)

This paper describes the combination of support vector machine (SVM) classifiers using Genetic Programming (GP) for gender classification problem. In our scheme, individual SVM classifiers are constructed through the learning of different SVM kernel functions. The predictions of SVM classifiers are then combined using GP to develop Optimal Composite Classifier (OCC). In this way, the combined decision space is more informative and discriminant. OCC has shown improved performance than that of optimized individual SVM classifiers using grid search. Another advantage of our GP combination scheme is that it automatically incorporates the issues of optimal kernel function and model selection to achieve high performance classification model. The classification performance is reported by using Receiver Operating Characteristics (ROC) Curve. Experiments are conducted under various feature sets to show that OCC is more informative and robust as compared to their individual SVM classifiers. Specifically, it attains high margin of improvement for small feature sets.
An F0 contour control model using an F0 contour codebook
Authors: Takehiko Kagoshima, Masahiro Morita, Shigenobu Seto, Masami Akamine, Yoshinori Shiga
Venue: Systems and Computers in Japan (2007)

In this paper the authors propose a fundamental frequency (F0) control model using a representative vector and then propose a method to train the control rules for the model parameters using a speech database. The representative vector is a vector which represents the typical F0 contour for accent phrases, and a set of representative vectors is referred to as a representative vector codebook. The authors generated F0 contour for sentences by performing linear expansion or contraction by mora in line with the length of the phoneme duration and the parallel shift (offset) on the logarithmic frequency axis and then concatenating them for representative vectors selected for each accent phrase. Training the control rules corresponds to extracting from the speech database the representative vector codebook, the representative vector selection rules, and the offset prediction rules. Based on the criterion that the error between the F0 contour for the speech database and the contour generated by the model (the approximation error) be minimized, the control rules were trained. The results of training experiments for the control rules using a speech database consisting of four female speakers showed that an F0 contour close to the original speaker can be generated even for sentences not included in the training data. &copy; 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 38(1): 62&ndash;72, 2007; Published online in Wiley InterScience (). DOI 10.1002&sol;scj.10386
Planning and control for a warranty service facility
Authors: Amir Messih, S. T. Enns
Venue: Proceedings of the 37th conference on Winter simulation (2005)

A warranty service facility for industrial products that also provides internal support by reworking production defects is considered. An important concern is the evaluation of policies for how technicians with flexible skills should be moved between the service facility and adjacent production facility. Relevant measures include warranty cycle times and the overall technician utilization levels. An approach is developed that allows incoming warranty work loads to be monitored using control charts. Workload information is then used in simulating behavior using different "flexing" policies. As well, warranty cycle times are monitored using control charts. Results indicate the approach is of practical interest and can be effectively implemented.
Mertacor: a successful autonomous trading agent
Authors: Panos Toulis, Dionisis Kehagias, Pericles A. Mitkas
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Competition (TAC) of 2005. TAC provides a realistic benchmarking environment in which different trading agents compete with each other in order to best satisfy their clients' preferences and maximize their total profit. The "travel game" scenario of TAC involves three types of auctions; a) continuous one-sided that sell flight tickets, b) ascending multi-unit auctions for booking hotel rooms, and c) continuous double auctions for entertainment tickets. For each one of these types, we describe the techniques deployed by Mertacor. In flight auctions prices are updated according to a random walk process, thus the accurate prediction of the next update is not feasible. A key element of agent behavior in these auctions is its ability to accurately deduce the specific time in an auction, at which bidding will be profitable. In order to deal with the uncertainty due to price fluctuations in flight auctions and to provide our agent with an efficient decision mechanism, we have designed the z-heuristic framework. The goal of z-heuristic is to figure out when the price assumes its minimum value and recommend bidding at that moment. In the case of hotel auctions, Mertacor used fuzzy reasoning in conjunction with rule-based reasoning in order to predict the closing prices of hotel rooms, when historical data from past auctions are available. In order to bid efficiently in entertainment auctions, we have designed a bidding strategy whose goal is to preserve a pre-specified long-term profit. We finally present and discuss the results of agent benchmarking in the TAC Classic game.
Geometric quantum control
Authors: J. W. Clark, T.-J. Tarn
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

The property of controllability of quantum systems is explored, and conditions for controllability based on Lie-algebraic properties are enunciated. Due consideration is given to the unbounded character of some of the operators that arise and to the generally noncompact nature of the operator algebras associated with the system. Results for both finite and infinite-dimensional systems are provided; in the latter case the results are not limited to cases having purely discrete spectra. The applicability of the results to systems with both bound and scattering states is demonstrated through examples, namely the Poschl-Teller potential and the repulsive radial oscillator, which reveal some of the subtleties of the controllability issue. Attention is also directed to transitivity of the pertinent Lie algebra of a system without drift as a necessary and sufficient condition for its controllability.
2005 Special Issue: A systems approach to appraisal mechanisms in emotion
Authors: David Sander, Didier Grandjean, Klaus R. Scherer
Venue: Neural Networks (2005)

While artificial neural networks are regularly employed in modeling the perception of facial and vocal emotion expression as well as in automatic expression decoding by artificial agents, this approach is yet to be extended to the modeling of emotion elicitation and differentiation. In part, this may be due to the dominance of discrete and dimensional emotion models, which have not encouraged computational modeling. This situation has changed with the advent of appraisal theories of emotion and a number of attempts to develop rule-based models can be found in the literature. However, most of these models operate at a high level of conceptual abstraction and rarely include the underlying neural architecture. In this contribution, an appraisal-based emotion theory, the Component Process Model (CPM), is described that seems particularly suited to modeling with the help of artificial neural network approaches. This is due to its high degree of specificity in postulating underlying mechanisms including efferent physiological and behavioral manifestations as well as to the possibility of linking the theoretical assumptions to underlying neural architectures and dynamic processes. This paper provides a brief overview of the model, suggests constraints imposed by neural circuits, and provides examples on how the temporal unfolding of emotion can be conceptualized and experimentally tested. In addition, it is shown that the specific characteristics of emotion episodes can be profitably explored with the help of non-linear dynamic systems theory.
UFCR: An Efficient I/O Method for Parallel File System
Authors: Yanmei Huo, Jiubin Ju, Liang Hu
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

One important way of solving I/O bottleneck is to develop parallel file system. Research showed that the strided file access pattern in scientific applications combined with current file system methods to perform these accesses lead to unacceptable performance for large data access. To enhance performance of discontiguous data access, we have created a new high performance I/O method: the user-defined file view and combining I/O requests (UFCR). We have implemented our ideas on WPFS. Experimentation results showed that our method can substantially enhance the performance of scientific applications.
Research on the Non-destructive Testing Method of Pod Based on Neural Networks
Authors: Guangyou Yang, Guozhu Zhou, Xianli Luo, Xinming Hu
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

The non-destructive testing method of pod was proposed based on neural networks according to pod's vibration signal. The wavelet theory is used to reconstruct chrysalis vibration signals. The characteristic values among chrysalis vibration signal, which were related to chrysalis weights, were extracted respectively. And the characteristic values were selected firstly by fuzzy classification. Then BP model for NDT of silkworm is built, which inputs include seven relevant characteristic values. The output of neural network represents weights of the chrysalis. The weight of cocoon shells can be gain indirectly. The testing result shows that the method is effective and feasible
A novel polynomial method for taming chaos in a wide class of nonlinear oscillators
Authors: V. M. Preciado, R. Chacon
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 2 (2003)

A novel polynomial method is presented concerning the inhibition of homoclinic chaos in a wide class of nonlinear systems by means of an additional weak perturbation. From Melnikov analysis, we theoretically find parameter-space regions, associated with the chaos-suppressing perturbation, where chaotic states can be suppressed by transforming the problem in a polynomial form. Using this novel focus, an adapted concept of controllability in a Melnikov sense is defined and analyzed by applying the well-known root locus technique from classical control theory.
Semi-Supervised Kernel Regression
Authors: Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, Hong-Jiang Zhang
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

Insufficiency of training data is a major obstacle in machine learning and data mining applications. Many different semi-supervised learning algorithms have been proposed to tackle this difficulty by leveraging a large amount of unlabeled data. However, most of them focus on semi-supervised classification. In this paper we propose a semi-supervised regression algorithm named Semi-Supervised Kernel Regression (SSKR). While classical kernel regression is only based on labeled examples, our approach extends it to all observed examples using a weighting factor to modulate the effect of unlabeled examples. Experimental results prove that SSKR significantly outperforms traditional kernel regression and graph-based semi-supervised regression methods.
Open-loop-control of pore formation in semiconductor etching
Authors: J. C. Claussen, J. Carstensen, M. Christophersen, S. Langa
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

Electrochemical etching of semiconductors gives rise to a wide variety of self-organized structures including fractal structures, regular and branching pores. The current-burst model and the aging concept are considered to describe the dynamical behavior governing the structure formation. Here the suppression of side-branching during pore growth is demonstrated by an open-loop-control method, resulting in pores with oscillating diameter.
Program-delta oriented debugging supporting method DMET
Authors: Makoto Matsushita, Masayoshi Teraguti, Katsuro Inoue
Venue: Systems and Computers in Japan (2006)

Research has been conducted on methods of automatically performing tests that focus on the delta (difference) between a revision that is known to function normally in advance and a revision that contains defects to identify the causes of the defects. However, since software had to be created from source programs for each test, an extremely long test time had been required. Also, since the emphasis had only been on the testing tasks and no consideration was given to debugging tasks, these methods were not practical. Therefore, in the current research, the authors propose the DMET debugging technique, which can be used for actual software maintenance. DMET, which reduces the test execution time compared with conventional techniques, supports the entire sequential processing flow from testing to debugging. Also, to verify the effectiveness of the proposed technique, the authors implemented the DSUS development support environment, which uses DMET, and performed comparison experiments. From the results, it was apparent that using DMET enabled the total debugging time to be shortened. &copy; 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(11): 35&ndash;43, 2006; Published online in Wiley InterScience (). DOI 10.1002&sol;scj.20351
Enhanced Pitch Sensitivity in Individuals with Autism: A Signal Detection Analysis
Authors: Anna Bonnel, Laurent Mottron, Isabelle Peretz, Manon Trudel, Erick Gallun, Anne-Marie Bonnel
Venue: Journal of Cognitive Neuroscience (2003)

Past research has shown a superiority of participants with high-functioning autism over comparison groups in memorizing picture-pitch associations and in detecting pitch changes in melodies. A subset of individuals with autism, known as "musical savants," is also known to possess absolute pitch. This superiority might be due to an abnormally high sensitivity to fine-grained pitch differences in sounds. To test this hypothesis, psychoacoustic tasks were devised so as to use a signal detection methodology. Participants were all musically untrained and were divided into a group of 12 high-functioning individuals with autism and a group of 12 normally developing individuals. Their task was to judge the pitch of pure tones in a "same-different" discrimination task and in a "high-low" categorization task. In both tasks, the obtained psychometric functions revealed higher pitch sensitivity for subjects with autism, with a more pronounced advantage over control participants in the categorization task. These findings confirm that pitch processing is enhanced in "high-functioning" autism. Superior performance in pitch discrimination and categorization extends previous findings of enhanced visual performance to the auditory domain. Thus, and as predicted by the enhanced perceptual functioning model for peaks of ability in autism (Mottron & Burack, 2001), autistic individuals outperform typically developing population in a variety of low-level perceptual tasks.
Strategic analysis, modeling and simulation (SAMS) of logistics as part of a planned vertical mega shaft system
Authors: Martin M. Franklin, Jan-Diedeleff Gertenbach
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Impala Platinum Limited mining operations focus on one of the largest known deposits of platinum group metals (PGMs) in the world, namely the Bushveld Complex in South Africa. Impala is investigating the feasibility of a planned expansion of their operations, specifically a new vertical mega shaft system incorporating innovative mining methods. Dynamic simulation modeling toolkits were developed in an object orientated environment for rapid application during the feasibility analysis of the logistics involved with the shaft system. The logistic models address the complete mining process, including materials handling operations underground and on surface (therefore incorporating hoisting, rail transport, truck haulage, conveyors, etc.). SAMS provide Impala with valuable decision making and what if analysis. This presentation provides an overview of SAMS applied to Impala Platinum requirements and demonstration of the modeling toolkits.
Functionality Meets Terminology to Address Network Security Vulnerabilities
Authors: Greg Goth
Venue: IEEE Distributed Systems Online (2006)

The names for networked computer security vulnerabilities are standardized in MITRE's Common Vulnerabilities and Exposures dictionary. Today, more than 300 products are CVE-certified, but overall awareness of the standard for improving responses to security holes has been slow. In 2005, the US National Institute of Science and Technology launched its National Vulnerability Database. The NVD is based on the CVE standard nomenclature, and it integrates all US government and industry publicly available resources for addressing vulnerabilities. It might represent the beginning of broader CVE adoption worldwide.
3D Graph Visualisation of Web Normal and Malicious Traffic
Authors: I. Xydas, G. Miaoulis, P.-F. Bonnefoi, D. Plemenos, D. Ghazanfarpour
Venue: Proceedings of the conference on Information Visualization (2006)

Once a web site has been made operational by a company, organisation or individual there is a wish to know the details regarding the connections to the site. In addition, there is a great interest to monitor the activity profile of the web site in terms of how many hits are received, where they come from, the relationship between this activity and increased revenues of the business and so on. Due to the complexity and volume of data involved in these tasks the only way to manage all of the information is to present it using a visual paradigm. Furthermore, web sites are likely to be regularly scanned and attacked by both automated and manual means. Companies, organisations and individuals are making every effort to build and maintain secure web sites. In this paper we will present an ongoing surveillance prototype system which offers a visual aid to the web analyst by monitoring and exploring 3D graphs. The system offers a visual surveillance of the web traffic for both normal and malicious activity. Web requests are presented as 3D directed graphs. Colours are used on the 3D graphics to indicate malicious attempts or anomalous traffic and the analyst has the ability to perform visual data analysis by navigating online into the web request payload, of either normal or malicious traffic.
Syngress IT Security Project Management Handbook
Authors: Susan Snedaker, Russ Rogers
Venue:  (2006)

The First and Last Word on Managing IT Security Projects As the late management guru Peter Drucker once said, "Plans are only good intentions unless they immediately degenerate into hard work." The intent of this book is not to lead you through long, arduous planning processes while hackers are stealing your network out from under you. The intent is to provide you with effective network security planning tools so that you can "degenerate into hard work" as quickly as possible to keep your network secure with the least amount of effort. Rather than losing sleep at night wondering who's wandering around your network in the dark, you can create a comprehensive security solution for your company that will meet your security needs today and will allow you to address new security requirements in the future. This book is designed to help you do exactly that. Analyze the Cost of Prevention Versus Remediation How to determine if preventing a security breach is less costly than fixing it once it occurs. Identify the Right Project Management Team Determine who will be affected and make certain they are on board from the start. Monitor IT Security Project Quality Many companies must comply with specific monitoring requirements to meet industry or governmental regulations. Create a Work Breakdown Structure (WBS) Be sure that your WBS tasks are at the same level by keeping the level of detail consistent. Create Reliable Documentation Your documentation should be well defined and completed in as near real time as possible. Implement Individual Security Analysis Programs (ISAPs) Testing requires an active "push" against security areas to ensure they don't collapse. Close the Issues Log, Change Requests, and Error Reports Addressing known issues in a reasonable manner and documenting those resolutions are important elements of reducing risk. Review Legal Standards Relevant to Your Project Failure to understand the legal implications may leave your company at substantial legal risk. Walk Through a Complete Plan Includes a step-by-step security project plan for a security assessment and audit project
Mining Hierarchies of Correlation Clusters
Authors: Elke Achtert, Christian Bohm, Peer Kroger, Arthur Zimek
Venue: Proceedings of the 18th International Conference on Scientific and Statistical Database Management (2006)

The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or more features might be correlated with several other features, and both noise features as well as the actual dependencies may be different for different clusters. Therefore, each cluster contains points that are located on a common hyperplane of arbitrary dimensionality in the data space and thus generates a separate, arbitrarily oriented subspace of the original data space. The few recently proposed algorithms designed to uncover these correlation clusters have several disadvantages. In particular, these methods cannot detect correlation clusters of different dimensionality which are nested into each other. The complete hierarchical structure of correlation clusters of varying dimensionality can only be detected by a hierarchical clustering approach. Therefore, we propose the algorithm HiCO (Hierarchical Correlation Ordering), the first hierarchical approach to correlation clustering. The algorithm determines the cluster hierarchy, and visualizes it using correlation diagrams. Several comparative experiments using synthetic and real data sets show the performance and the effectivity of HiCO.
Generalized Load Sharing for Packet-Switching Networks II: Flow-Based Algorithms
Authors: Ka-Cheong Leung, Victor O. K. Li
Venue: IEEE Transactions on Parallel and Distributed Systems (2006)

In this paper, we extend the load sharing framework to study how to effectively perform flow-based traffic splitting in multipath communication networks. The generalized load sharing (GLS) model is employed to conceptualize how traffic is split ideally on a set of active paths. A simple flow-based weighted fair routing (WFR) algorithm, called call-by-call WFR (CWFR), has been developed to imitate GLS so that all packets belonging to a single flow are sent on the same path. We have investigated how to couple the proposed basic packet-by-packet WFR (PWFR) and CWFR algorithms so as to permit a traffic splitter to handle both connection-oriented and connectionless traffic simultaneously. Our simulation studies, based on a collection of Internet backbone traces, reveal that WFR outperforms two other traffic splitting algorithms, namely, generalized round robin routing (GRR), and probabilistic routing (PRR). These promising results form a basis for designing future adaptive constraint-based multipath routing protocols.