Seagram Museum Collection

The Seagram Museum was opened on May 16th, 1984 by the Honourable William G. Davis, Premier of Ontario. The museum was devoted to the history and technology of the wine and spirit industry. The museum focused on wine-making and distillation, as well as barrel-making and cork manufacturing. The museum was located adjacent to the Seagram Distillery in Waterloo, Ontario. In 1997, the museum closed due to lack of funds.

Letter - Lyle Vanclief, M.P. to Donald Ziraldo, 1996

A letter from Lyle Vanclief, M.P. Prince Edward- Hastings, to Donald Ziraldo in regards to Bill C222. The Bill would require warning labels on alcoholic beverages in order to encourage moderation. The letter indicates that Mr. Ziraldo has sent a letter to said Vanclief with concern about the Bill. Vanclief responds in this letter by indicating his disapproval for Bill C222.

The Impact of Labeling in Childhood on the Sense of Self of Young Adults

Research studies on labeling of children have either focused on the effects of formal labels on the lives of children with exceptionalities and mental health issues, or the effect of informal labeling by parents, peers and teachers on teenagers. The effects of informal labeling in childhood and its implications in later life or for one���s career choice have not yet been examined. This study adds to the growing research on informal labeling. The purpose of this qualitative study was to determine what negative effects informal labeling of children as deviant had on their lives. Data were gathered through semi-structured interviews conducted with seventeen young adults, between the ages of sixteen and thirty years, from a post-secondary institution and an organization for homeless youth. The results showed an initial negative impact on the lives of the young adults during their childhood and early teenage years but as they progressed into their late teens and early adulthood, most were able to overcome their negative labels suggesting resilience. There were no significant gender differences in the impact of the labels. The implications of the study for policy makers and parents are discussed as well as some recommendations for parents and practitioners are offered.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub���optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub���optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age���measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal���symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non���converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high���dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey���s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub���optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub���optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta���heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age���measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal���symbol selection for the construction of GP trees/sub-trees. The FSALPS meta���heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non���converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high���dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey���s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Public Decisions: Solidarity and the Status Quo

A public decision model specifies a fixed set of alternatives A, a variable population, and a fixed set of admissible preferences over A, common to all agents. We study the implications, for any social choice function, of the principle of solidarity, in the class of all such models. The principle says that when the environment changes, all agents not responsible for the change should all be affected in the same direction: either all weakly win, or all weakly lose. We consider two formulations of this principle: population-monotonicity (Thomson, 1983); and replacement-domination (Moulin, 1987). Under weak additional requirements, but regardless of the domain of preferences considered, each of the two conditions implies (i) coalition-strategy-proofness; (ii) that the choice only depends on the set of preferences that are present in the society and not on the labels of agents, nor on the number of agents having a particular preference; (iii) that there exists a status quo point, i.e. an alternative always weakly Pareto-dominated by the alternative selected by the rule. We also prove that replacement-domination is generally at least as strong as population-monotonicity.

Federal Constitutionalism and Aboriginal Difference

The author outlines a new legal approach, which he labels federal constitutionalism, to the question of aboriginal difference in Canada. This approach has the potential to open up more fruitful avenues for the resolution of aboriginal law issues than either the ���frozen rights��� approach currently adopted by the Supreme Court of Canada or the treaty federalism approach, which posits that treaties should be used to resolve all differences between aboriginals and non-aboriginals. The author outlines the difficulties inherent in both the frozen rights and treaty federalism approaches. Federal constitutionalism, in contrast, draws its vitality from an organic understanding of Canada���s constitutional experience. It would allow aboriginal peoples to be seen as federal actors who have historically shaped the Canadian federation. Federal constitutionalism is a multi-faceted approach that would permit aboriginal questions to be addressed using the federal principle, thereby allowing the legal focus to move away from section 35 of the Constitution Act, 1982. Aboriginal peoples would be able to exercise the rights of sovereignty over their own internal affairs, while individual aboriginals could participate directly in federal and provincial governments without having to proceed through the intermediary of aboriginal representatives. Federal constitutionalism would allow aboriginal peoples a guaranteed sphere of autonomy, while permitting recognition of their historical interdependence with non-aboriginal peoples.

La protection des donn��es personnelles en France

Un r��sum�� en anglais est ��galement disponible.

L'encadrement juridique du traitement des donn��es personnelles sur les sites de commerce en ligne

"Th��se en vue de l'obtention du grade de docteur en droit de l'Universit�� Panth��on-Assas (Paris II) et de docteur en droit de la facult�� de droit de l'Universit�� de Montr��al en droit priv��"