ppxscal/embedding_network huggingface dataset:
Making predictions of the profitability on the financial markets using discriminant analysis
Authors: Stefan Alexandru Ionescu, Cristiana Stefania Murgoci, Camelia Monica Gheorghe, Emilia Ionescu
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

In this paper we tried to group in three classes the companies listed without interruption for 6 years from Bucharest Stock Exchange. We used cluster analysis, namely an iterative method of clustering, the k-means algorithm. Using data results, we have made tests for the three classes of prediction using discriminant analysis. Fisher's functions have helped us to make predictions on the affiliation of a new listed company on one of the 3 classes of risk. In this study, emphasis was placed on the liquidity of companies, but also on how efficient are used the raw materials, the basic elements in the current financial crisis. This should give us a clearer picture of companies that are ready to get over this difficult time.
Study of mechanical response in micro-indentation of laminated ceramic green substrates
Authors: Y. C. Liu, Xuechuan Shan
Venue: Microsystem Technologies (2009)

Micro-indentation at elevated temperature is an effective method for studying the mechanical response of a material used in micro embossing. In this study, micro-indentation was performed on co-firable green ceramic substrates for the purpose of simulating micro embossing process and investigating the mechanical response at certain temperature. The laminated low temperature co-firable ceramic (LTCC) green tapes were used as the testing materials, the correlations of indentation depth versus applied force at various temperatures ranging from 25 to 75&#x00b0;C were studied. The results showed that permanent indentation cavities could be formed and retained at the temperatures ranging from 25 to 75&#x00b0;C; the depth of cavities created was applied force, temperature and holding time dependent. Creep during holding period occurred and made a significant contribution to the plastic deformation at elevated temperatures. There were instantaneous recoveries during the unloading and cooling processes, and retarded recovery in the first day after indentation as well. No significant pile-up around the indented cavities at the temperatures up to 75&#x00b0;C was observed, suggesting that there was little material flow during indentation at this temperature range. The indented cavities on green ceramic substrates were formed mainly due to the plastic deformation under compression. The findings could be used as a guideline for micro embossing of ceramic green substrates.
Information systems outsourcing life cycle and risks analysis
Authors: David C. Chou, Amy Y. Chou
Venue: Computer Standards Interfaces (2009)

This paper identifies an information systems outsourcing life cycle through three project related periods: pre-contract phase, contract phase, and post-contract phase. Also, various risk factors that associated with each phase of the information system outsourcing practice have been identified and examined. ISO quality standards and risk management standards are also discussed in this paper. A successful outsourcing project needs to perform suitable risk analysis and quality control process.
Text Sampling and Re-sampling for Imbalanced Authorship Identification Cases
Authors: Efstathios Stamatatos
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)

Authorship identification can be seen as a single-label multi-class text categorization problem. Very often, there are extremely few training texts at least for some of the candidate authors. In this paper, we present methods to handle imbalanced multi-class textual datasets. The main idea is to segment the training texts into sub-samples according to the size of the class. Hence, minority classes can be segmented into many short samples and majority classes into less and longer samples. Moreover, we explore text re-sampling in order to construct a training set according to a desirable distribution over the classes. Essentially, text re-sampling can be viewed as providing new synthetic data that increase the training size of a class. Based on a corpus of newswire stories in English we present authorship identification experiments on various multi-class imbalanced cases.
The importance of elementary school students' social chat online: Reconceptualising the curriculum
Authors: Damian Maher
Venue: Computers Education (2009)

The Internet is increasingly being used as a tool for communicating and learning in primary schools across many developed and developing countries. The place of social chat as part of online interactions has as yet not been fully recognised as an important component of learning. In this paper, the interactions of students in a Sydney primary school are examined focusing on the role that social chat plays as part of the online learning process. Here it is found that social chat allows for the development of related skills and knowledge and is an important precursor to more formal learning opportunities and as such, should be considered as an important part of the learning process. Such a consideration has implications for the way the curriculum is designed, implemented and assessed.
An edge-based color-aided method for license plate detection
Authors: Vahid Abolghasemi, Alireza Ahmadyfard
Venue: Image and Vision Computing (2009)

In this paper, the problem of license plate detection is considered. Low quality images due to severe illumination conditions, vehicle motion, viewpoint and distance changes, complex background, etc. are some of popular problems which have to be considered. In order to alleviate these problems, two different image enhancement methods (using intensity variance and edge density) are proposed. The aim is to increase contrast of plate-like regions to avoid missing plate location especially in poor quality images. Furthermore, a novel match filter is designed to detect candidate regions as plate. This filter models the vertical edge density of plate region regarding its neighborhood. As the filtering procedure is simple, this approach can be used for real-time applications. In the proposed method, we also use colored texture in the plate as a cue for plate detection. This feature is preserved under viewpoint change. In order to characterize the color information in plate, the MNS (multimodal neighborhood signature) method is used. A well-organized database, consisting of car images with different known distances and viewing angels have been prepared to verify the performance of plate detection algorithm. This database can be used to establish a precise evaluation of the proposed method and any other related work. The results of experiments on different type of car images in complex scenes confirm the robustness of proposed method against severe imaging conditions.
Aircraft double-spool single jet engine's model
Authors: Romulus Lungu, Alexandru Nicolae Tudosie, Liviu Dinca
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

The paper deals with an aircraft double-spool single-jet engine identified as possible controlled object. The authors have identified the main parameters and the engine's non-linear equation system (the motion equation and the gas-dynamic characteristics), then they have established the linear non-dimensional model, useful for further studies, and the block diagram with transfer functions. Engine's stability domains were also established, and some simulation were performed, concerning the engine's time behavior (step response), for two different cases of control possibilities.
Creating and utilizing symbolic representations of spatial knowledge using mobile robots
Authors: Benjamin J. Kuipers
Venue:  (2008)

A map is a description of an environment allowing an agent&mdash;a human, or in our case a mobile robot&mdash;to plan and perform effective actions. From a single location, an agent's sensors can not observe the whole structure of a complex, large environment. For this reason, the agent must build a map from observations gathered over time and space. We distinguish between large-scale space, with spatial structure larger than the agent's sensory horizon, and small-scale space, with structure within the sensory horizon. We propose a factored approach to mobile robot map-building that handles qualitatively different types of uncertainty by combining the strengths of topological and metrical approaches. Our framework is based on a computational model of the human cognitive map; thus it allows robust navigation and communication within several different spatial ontologies. Our approach factors the mapping problem into natural sub-goals: building a metrical representation for local small-scale spaces; finding a topological map that represents the qualitative structure of large-scale space; and (when necessary) constructing a metrical representation for large-scale space using the skeleton provided by the topological map. The core contributions of this thesis are a formal description of the Hybrid Spatial Semantic Hierarchy (HSSH), a framework for both small-scale and large-scale representations of space, and an implementation of the HSSH that allows a robot to ground the large-scale concepts of place and path in a metrical model of the local surround. Given metrical models of the robot's local surround, we argue that places at decision points in the world can be grounded by the use of a primitive called a gateway. Gateways separate different regions in space and have a natural description at intersections and in doorways. We provide an algorithmic definition of gateways, a theory of how they contribute to the description of paths and places, and practical uses of gateways in spatial mapping and learning.
Analysis of three graph parameters for random trees
Authors: Cyril Banderier, Markus Kuba, Alois Panholzer
Venue: Random Structures Algorithms (2009)

We consider three basic graph parameters, the node-independence number, the path node-covering number, and the size of the kernel, and study their distributional behavior for an important class of random tree models, namely the class of simply generated trees, which contains, e.g., binary trees, rooted labeled trees, and planted plane trees, as special instances. We can show for simply generated tree families that the mean and the variance of each of the three parameters under consideration behave for a randomly chosen tree of size n asymptotically &sim;&mu;n and &sim;&nu;n, where the constants &mu; and &nu; depend on the tree family and the parameter studied. Furthermore we show for all parameters, suitably normalized, convergence in distribution to a Gaussian distributed random variable. &copy; 2009 Wiley Periodicals, Inc. Random Struct. Alg., 2009
Face Gender Classification on Consumer Images in a Multiethnic Environment
Authors: Wei Gao, Haizhou Ai
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

In this paper, we target at face gender classification on consumer images in a multiethnic environment. The consumer images are much more challenging, since the faces captured in the real situation vary in pose, illumination and expression in a much larger extent than that captured in the constrained environments such as the case of snapshot images. To overcome the non-uniformity, a robust Active Shape Model (ASM) is used for face texture normalization. The probabilistic boosting tree approach is presented which achieves a more accurate classification boundary on consumer images. Besides that, we also take into consideration the ethnic factor in gender classification and prove that ethnicity specific gender classifiers could remarkably improve the gender classification accuracy in a multiethnic environment. Experiments show that our methods achieve better accuracy and robustness on consumer images in a multiethnic environment.
Determining the Number of Games Needed to Guarantee an NHL Playoff Spot
Authors: Tyrel Russell, Peter Beek
Venue: Proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (2009)

Many sports fans invest a great deal of time into watching and analyzing the performance of their favourite team. However, the tools at their disposal are primarily heuristic or based on folk wisdom. This paper provides a concrete mechanism for calculating the minimum number of points needed to guarantee a playoff spot in the National Hockey League (NHL). Along with determining how many games need to be won to guarantee a playoff spot comes the notion of "must win" games. Our method can identify those games where, if a team loses, they no longer control their own playoff destiny. As a side effect of this, we can also identify when teams get lucky and still make the playoffs even though another team could have eliminated them.
Self-tuning management of update-intensive multidimensional data in clusters of workstations
Authors: Vassil Kriakov, George Kollios, Alex Delis
Venue: The VLDB Journal &mdash; The International Journal on Very Large Data Bases (2009)

Contemporary applications continuously modify large volumes of multidimensional data that must be accessed efficiently and, more importantly, must be updated in a timely manner. Single-server storage approaches are insufficient when managing such volumes of data, while the high frequency of data modification render classical indexing methods inefficient. To address these two problems we introduce a distributed storage manager for multidimensional data based on a Cluster-of-Workstations. The manager addresses the above challenges through a set of mechanisms that, through selective on-line data reorganization, collectively maintain a balanced load across a cluster of workstations. With the help of both a highly efficient and speedy self-tuning mechanism, based on a new data structure called stat-index, as well as a query aggregation and clustering algorithm, our storage manager attains short query response times even in the presence of massive modifications and highly skewed access patterns. Furthermore, we provide a data migration cost model used to determine the best data redistribution strategy. Through extensive experimentation with our prototype, we establish that our storage manager can sustain significant update rates with minimal overhead.
Demonstration of a POMDP voice dialer
Authors: Jason Williams
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Demo Session (2008)

This is a demonstration of a voice dialer, implemented as a partially observable Markov decision process (POMDP). A real-time graphical display shows the POMDP's probability distribution over different possible dialog states, and shows how system output is generated and selected. The system demonstrated here includes several recent advances, including an action selection mechanism which unifies a hand-crafted controller and reinforcement learning. The voice dialer itself is in use today in AT&T Labs and receives daily calls.
Interpretation of gene expression microarray experiments
Authors: Aristotelis Chatziioannou, Panagiotis Moulos
Venue: Proceeding of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies (2007)

Microarrays nowadays have an almost ubiquitous presence in modern biological research The extent and versatility of the techniques that are available for analysis and interpretation of microarray experiments can be somehow bewildering to the interested biologists. Functional genomics involves the highthroughput analysis of large datasets of information derived from various biological experiments. Microarray technology makes this possible by monitoring the emitting fluorescence reflecting the expression levels of thousands of genes simultaneously, which are bound to the oligonucleotide probes specific for each of the putative gene sequences comprising the total genome of the investigated organism, under a particular condition.. This chapter is a brief overview of the basic concepts involved in a microarray experiment; and it aspires to provide a concise overview of key issues regarding the various steps of implementation of this promising experimental methodology. In this sense, the chapter gives a feeling for what the data actually represent, and will provide information on the various computational methods that one can employ to derive meaningful results from such experiments.
Bivariate C1 cubic spline spaces with homogeneous boundary conditions over FVS triangulation
Authors: Feng-Gong Lang, Ren-Hong Wang
Venue: Computers Mathematics with Applications (2009)

In this paper, we mainly generalize the results in [H.W. Liu, D. Hong, D.Q. Cao, Bivariate C^1 cubic spline space over a nonuniform type-2 triangulation and its subspaces with boundary conditions, Comput. Math. Appl. 49 (2005), 1853-1865] from the type-2 triangulation to the so-called FVS triangulation (a triangulated quadrangulation). We study the bivariate C^1 cubic spline spaces S"3^1^,^0(@?@?) and S"3^1^,^1(@?@?) with homogeneous boundary conditions over an FVS triangulation @?@?. The dimensions are obtained and the locally supported bases are constructed for these spline spaces. Furthermore, we also study the explicit Bezier ordinates of the interpolation basis splines on a representative triangulated quadrilateral. The results of this paper can be applied in many fields such as the finite element method for partial differential equation, computer aided geometric design, numerical approximation, and so on.
Error analysis of Legendre spectral method with essential imposition of Neumann boundary condition
Authors: Tian-jun Wang, Zhong-qing Wang
Venue: Applied Numerical Mathematics (2009)

In this paper, we present error estimates of Legendre spectral method with essential imposition of Neumann boundary condition. The algorithm was firstly proposed by Auteri, Parolini and Quartapelle. This method differs from the classical spectral methods for Neumann boundary value problems. The homogeneous boundary condition is satisfied exactly. Moreover, a double diagonalization process is employed, instead of the full stiffness matrices encountered in the classical variational formulation of the problem with a weak natural imposition of the derivative boundary condition. We also consider nonhomogeneous Neumann data by means of a lifting. In particular, the lifting in this paper is expressed explicitly and is different from that by Auteri, Parolini and Quartapelle. For analyzing the numerical errors, some basic results on Legendre quasi-orthogonal approximations are established. The convergence of proposed schemes is proved.
zipfR: word frequency distributions in R
Authors: Stefan Evert, Marco Baroni
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

We introduce the zipfR package, a powerful and user-friendly open-source tool for LNRE modeling of word frequency distributions in the R statistical environment. We give some background on LNRE models, discuss related software and the motivation for the toolkit, describe the implementation, and conclude with a complete sample session showing a typical LNRE analysis.
Intranets for Info Pros
Authors: Mary Lee Kennedy, Jane Dysart
Venue:  (2007)

The intranet is among the primary landscapes in which information-based work occurs, yet many info pros continue to view it with equal parts skepticism and dread. In Intranets for Info Pros, editors Mary Lee Kennedy and Jane Dysart and their 10 expert contributors provide support and encouragement to the information professional responsible for implementing or contributing to an intranet. Chapters demonstrate the intranet's strategic value, describe important trends and best practices, and equip info pros to make a key contribution to their organization's intranet success.
The status of the P versus NP problem
Authors: Lance Fortnow
Venue: Communications of the ACM (2009)

It's one of the fundamental mathematical problems of our time, and its importance grows with the rise of powerful computers.
Communications Engineering Desk Reference
Authors: Erik Dahlman, Stefan Parkvall, Johan Skold, Per Beming, Alan C. Bovik, Bruce A. Fette, Keith Jack, Farid Dowla, Casimer DeCusatis, Ed da Silva, Luis M. Correia, Philip A Chou, Mihaela van der Schaar, Ronald Kitchen, Daniel M. Dobkin
Venue:  (2009)

A one-stop Desk Reference, for R&D engineers involved in communications engineering; this is a book that will not gather dust on the shelf. It brings together the essential professional reference content from leading international contributors in the field. Material covers a wide scope of topics including voice, computer, facsimile, video, and multimedia data technologies * A hard-working desk reference, providing all the essential material needed by communications engineers on a day-to-day basis * Fundamentals, key techniques, engineering best practice and rules-of-thumb together in one quick-reference sourcebook* Definitive content by the leading authors in the field, including Erik Dahlman, Steven Parkvall, Claude Oestges, Alan Bovik, Bruce Fette and Keith Jack
ROME: a Reference Ontology in Medicine
Authors: Domenico M. Pisanelli, Massimo Battaglia, Claudio De Lazzari
Venue: Proceeding of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07 (2007)

Many people today acknowledge that ontologies may help building better and more interoperable information systems, also in medicine. On the other hand, many others are skeptical about the real impact that ontologies-apart from the academic world-may have on the design and maintenance of working information systems. In order to ensure semantic consistency to the heterogeneous information systems that may be applied to the health-care domain, we defined a Reference Ontology in MEdicine (ROME). It consists of about 200 general entities and it is designed to act as a bridge between more specific systems.
Threat-model-driven runtime adaptation and evaluation of intrusion detection system
Authors: Martin Rehak, Eugen Staab, Volker Fusenig, Jan Stiborek, Martin Grill, Karel Bartos, Michal Pechoucek, Thomas Engel
Venue: Proceedings of the 6th international conference on Autonomic computing (2009)

We present a mechanism for autonomous self-adaptation of a network-based intrusion detection system (IDS). The system is composed of a set of cooperating agents, each of which is based on an existing network behavior analysis method. The self adaptation mechanism is based on the insertion of a small number of challenges, i.e. known instances of past legitimate or malicious behavior. The response of individual system components to these challenges is used to measure and eventually optimize the system performance in terms of accuracy. In this work we show how to choose the challenges in a way such that the IDS attaches more importance to the detection of attacks that cause much damage.