8 research outputs found
On the Chacteristic Numbers of Voting Games
This paper deals with the non-emptiness of the stability set for any proper voting game.We present an upper bound on the number of alternatives which guarantees the non emptiness of this solution concept. We show that this bound is greater than or equal to the one given by Le Breton and Salles [6] for quota games.voting game, core, stability set
On the Chacteristic Numbers of Voting Games
This paper deals with the non-emptiness of the stability set for any proper voting game. We present an upper bound on the number of alternatives which guarantees the non emptiness of this solution concept. We show that this bound is greater than or equal to the one given by Le Breton and Salles (1990) for quota games.voting game, core, stability set
On the Chacteristic Numbers of Voting Games
International audienceThis paper deals with the non-emptiness of the stability set for any proper voting game. We present an upper bound on the number of alternatives which guarantees the non emptiness of this solution concept. We show that this bound is greater than or equal to the one given by Le Breton and Salles (1990) for quota games
Three teaching units showing correlation of English with social studies, science, and art in the tenth grade.
Thesis (Ed.M.)--Boston Universit
Bowdoin Orient v.126, no.1-23 (1995-1996)
https://digitalcommons.bowdoin.edu/bowdoinorient-1990s/1007/thumbnail.jp
On Practical machine Learning and Data Analysis
This thesis discusses and addresses some of the difficulties
associated with practical machine learning and data
analysis. Introducing data driven methods in e.g industrial and
business applications can lead to large gains in productivity and
efficiency, but the cost and complexity are often
overwhelming. Creating machine learning applications in practise often
involves a large amount of manual labour, which often needs to be
performed by an experienced analyst without significant experience
with the application area. We will here discuss some of the hurdles
faced in a typical analysis project and suggest measures and methods
to simplify the process.
One of the most important issues when applying machine learning
methods to complex data, such as e.g. industrial applications, is that
the processes generating the data are modelled in an appropriate
way. Relevant aspects have to be formalised and represented in a way
that allow us to perform our calculations in an efficient manner. We
present a statistical modelling framework, Hierarchical Graph
Mixtures, based on a combination of graphical models and mixture
models. It allows us to create consistent, expressive statistical
models that simplify the modelling of complex systems. Using a
Bayesian approach, we allow for encoding of prior knowledge and make
the models applicable in situations when relatively little data are
available.
Detecting structures in data, such as clusters and dependency
structure, is very important both for understanding an application
area and for specifying the structure of e.g. a hierarchical graph
mixture. We will discuss how this structure can be extracted for
sequential data. By using the inherent dependency structure of
sequential data we construct an information theoretical measure of
correlation that does not suffer from the problems most common
correlation measures have with this type of data.
In many diagnosis situations it is desirable to perform a
classification in an iterative and interactive manner. The matter is
often complicated by very limited amounts of knowledge and examples
when a new system to be diagnosed is initially brought into use. We
describe how to create an incremental classification system based on a
statistical model that is trained from empirical data, and show how
the limited available background information can still be used
initially for a functioning diagnosis system.
To minimise the effort with which results are achieved within data
analysis projects, we need to address not only the models used, but
also the methodology and applications that can help simplify the
process. We present a methodology for data preparation and a software
library intended for rapid analysis, prototyping, and deployment.
Finally, we will study a few example applications, presenting tasks
within classification, prediction and anomaly detection. The examples
include demand prediction for supply chain management, approximating
complex simulators for increased speed in parameter optimisation, and
fraud detection and classification within a media-on-demand system
The pobladores and local democracy in Chile : the case of El Bosque and Peñalolén
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Political Science, 2004.Includes bibliographical references (p. 373-397).(cont.) models of local governance, questioning blanket statements about the virtues of political decentralization. The managerial elitist" model favors individual participation and technical/centralized decision-making that precludes public deliberation. It hardly engages the pobladores' organizations in the local polity and policymaking, fostering organizational fragmentation, selective deactivation and cientism. The "participatory-deliberative" style combines innovative adaptation of public policies to "fit" the local demand, extensive use of networks and public forums. It generates pre-political spaces that pave the way for the pobladores' organizations to scale-up decisionmaking in the local government or along policy networks at higher levels.In the 1990's, two state reforms in Chile placed the grassroots organizations of the pobladores--the once powerful urban squatters' movement--in a unique position to use their organizational experience in self-govenment and small-scale service delivery. Decentralization endowed the municipalities with enhanced resources and authority and new decentralized social policies demanded community participation. This favorable context was offset by institutional constraints on the national political system and by the mayor-centric and managerial design of the new municipality, both rooted in the authoritarian era (1973-1990). In addition, social policy was framed by a technocratic logic that discouraged participation. Two claims guided the investigation of the pobladores' incorporation into the local polity. In spite of a common managerial/efficiency driven formula for local administration, the style of governance has a decisive impact on the way in which organized interests are incorporated. Second, social policies are key arenas of incorporation In-depth case studies were conducted in El Bosque and Peñalolén. These municipalities share demographic and socioeconomic traits, but sharply differ in their model of governance El Bosque's actively incorporates organized participation, while Peñalolén embraces a managerial approach. From 1994-2000, over a hundred local and central state officials; politicians and grassroots leaders were interviewed. Data on social organizations, voting patterns, laws on decentralization, political institutions and social policies--education, health, and housing--covers the period between 1994 and 2000. Thepobdonrs' history is traced from the 1950s. The findings confirm the different patterns of incorporation fostered by theseby Anny Ximena Rivera-Ottenberger.Ph.D