EmotiBlog: a model to learn subjective information detection in the new textual genres of the Web 2.0 -a multilingual and multi-genre approach-

Tesis doctoral con mención europea en procesamiento del lenguaje natural realizada en la Universidad de Alicante por Ester Boldrini bajo la dirección del Dr. Patricio Martínez-Barco. El acto de defensa de la tesis tuvo lugar en la Universidad de Alicante el 23 de enero de 2012 ante el tribunal formado por los doctores Manuel Palomar (Universidad de Alicante), Dr. Paloma Moreda (UA), Dr. Mariona Taulé (Universidad de Barcelona), Dr. Horacio Saggion (Universitat Pompeu Fabra) y Dr. Mike Thelwall (University of Wolverhampton). Calificación: Sobresaliente Cum Laude por unanimidad.

MDD vs. traditional software development: a practitioner’s subjective perspective

Context: Today’s project managers have a myriad of methods to choose from for the development of software applications. However, they lack empirical data about the character of these methods in terms of usefulness, ease of use or compatibility, all of these being relevant variables to assess the developer’s intention to use them. Objective: To compare three methods, each following a different paradigm (Model-Driven, Model-Based and Code-Centric) with respect to their adoption potential by junior software developers engaged in the development of the business layer of a Web 2.0 application. Method: We have conducted a quasi-experiment with 26 graduate students of the University of Alicante. The application developed was a Social Network, which was organized around a fixed set of modules. Three of them, similar in complexity, were used for the experiment. Subjects were asked to use a different method for each module, and then to answer a questionnaire that gathered their perceptions during such use. Results: The results show that the Model-Driven method is regarded as the most useful, although it is also considered the least compatible with previous developers’ experiences. They also show that junior software developers feel comfortable with the use of models, and that they are likely to use them if the models are accompanied by a Model-Driven development environment. Conclusions: Despite their relatively low level of compatibility, Model-Driven development methods seem to show a great potential for adoption. That said, however, further experimentation is needed to make it possible to generalize the results to a different population, different methods, other languages and tools, different domains or different application sizes.

An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov–Smirnov two-sample test

This paper proposes an adaptive algorithm for clustering cumulative probability distribution functions (c.p.d.f.) of a continuous random variable, observed in different populations, into the minimum homogeneous clusters, making no parametric assumptions about the c.p.d.f.’s. The distance function for clustering c.p.d.f.’s that is proposed is based on the Kolmogorov–Smirnov two sample statistic. This test is able to detect differences in position, dispersion or shape of the c.p.d.f.’s. In our context, this statistic allows us to cluster the recorded data with a homogeneity criterion based on the whole distribution of each data set, and to decide whether it is necessary to add more clusters or not. In this sense, the proposed algorithm is adaptive as it automatically increases the number of clusters only as necessary; therefore, there is no need to fix in advance the number of clusters. The output of the algorithm are the common c.p.d.f. of all observed data in the cluster (the centroid) and, for each cluster, the Kolmogorov–Smirnov statistic between the centroid and the most distant c.p.d.f. The proposed algorithm has been used for a large data set of solar global irradiation spectra distributions. The results obtained enable to reduce all the information of more than 270,000 c.p.d.f.’s in only 6 different clusters that correspond to 6 different c.p.d.f.’s.

Cartels: the Probability of Getting Caught in the European Union. Bruges European Economic Research (BEER) Papers 12/March 2008

In 1991, Bryant and Eckard estimated the annual probability that a cartel would be detected by the US Federal authorities, conditional on being detected, to be at most between 13 % and 17 %. 15 years later, we estimated the same probability over a European sample and we found an annual probability that falls between 12.9 % and 13.3 %. We also develop a detection model to clarify this probability. Our estimate is based on detection durations, calculated from data reported for all the cartels convicted by the European Commission from 1969 to the present date, and a statistical birth and death process model describing the onset and detection of cartels.

Considering DPRK [North Korea] Regime Collapse: Its Probability and Possible Geopolitical and Security Consequences. Security Policy Brief No. 66, August 2015

Both the EU and its member states are in a period of rethinking security strategy to adapt to contemporary challenges both in the European region and beyond, including Northeast Asia. In this Security Policy Brief, Mason Richey discusses what difficulties and risks a North Korean regime collapse would pose, the likelihood that it will occur sooner rather than later, and how Europe will be affected by such a scenario.

RRREG: Stata module to estimate linear probability model for randomized response data

rrreg fits a linear probability model for randomized response data

The Impact of Relationship Conflict on subjective Family Firm Valuation

The present paper empirically investigates the impact of family relationship conflict on subjective firm valuation by family firm owner managers. Drawing on the emerging socioemotional wealth perspective of corporate ownership, we find a U-shaped relationship between relationship conflict inside the family firm and subjective family firm valuation. This finding suggests that negatively valenced emotions induced by the conflict, at low levels of conflict, lead to emotion congruent withdrawal behavior and hence lower valuation. With conflicts gaining in fervor and severity, owner-managers start endowing and pricing sunk costs related to the conflict. This finding suggests that emotions do indeed have spill-over effects on monetary value perceptions and that negatively valenced emotions induced by relationship conflict are not linearly appraised. Rather, to understand the impact of negative emotions on corporate ownership appraisal and attachment it is required to reconcile the emotion congruency with the prospect theory perspective.

Testing the validity of the lognormal probability model : computer analysis of carbon monoxide data from U.S. cities /

Mode of access: Internet.

Probability sampling to measure pollution from rural land runoff /

Mode of access: Internet.

Social decision-making for high consequence, low probability occurences /

Oct. 1978.

Bibliography on the foundations of probability theory,

Mode of access: Internet.

Lectures and conferences on mathematical statistics and probability.

Original mimeographed ed. published in 1938 under title: Lectures and conferences on mathematical statistics.

Lecture notes on probability, statistics, and experimental errors; an elementary summary for students of experimental science.

Mode of access: Internet.

Relative transition probability and pressure broadening parameters of copper atomic lines /

Inserted Report documentation page designates D. W. Boyer ... [et al.] as "authors."