972 resultados para Lane changing decision


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[ES] En el actual contexto de la Sociedad del Conocimiento las instituciones de educación superior deben prestar una atención preferente a las nuevas demandas informativas de sus stakeholders. El objetivo de este trabajo será evidenciar la necesidad de que las universidades incorporen información sobre capital intelectual en su actual sistema de información contable.

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Recommendations for changes to service provision and fisheries policy in support of poverty alleviation emerged recently in India from a process know as facilitated advocacy (see Case Study SI 2) that helped to negotiate and support a role for poor people and their service providers, to contribute to changes in services and policies. Two of the key recommendations to emerge from farmers and fishers, which were prioritized by Fisheries Departments, were to change the way that information is made available and to simplify procedures for accessing government schemes and bank loans. This case which identifies the origin of these recommendations to change the way that information is made available, shows how different models of the concept have emerged, and follows the development of the One-stop Aqua Shops (OAS) in the eastern Indian states of Jharkhand, Orissa and West Bengal, that represent a new and vital tier in communications in aquaculture. (12 p.)

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Decision Trees need train samples in the train data set to get classification rules. If the number of train data was too small, the important information might be missed and thus the model could not explain the classification rules of data. While it is not affirmative that large scale of train data set can get well model. This Paper analysis the relationship between decision trees and the train data scale. We use nine decision tree algorithms to experiment the accuracy, complexity and robustness of decision tree algorithms. Some results are demonstrated.

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Few issues confronting coastal resource managers are as divisive or difficult to manage as regulating the construction of private recreational docks and piers associated with residential development. State resource managers face a growing population intent on living on or near the coast, coupled with an increasing desire to have immediate access to the water by private docks or piers. (PDF contains 69 pages)

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In this work the state of the art of the automatic dialogue strategy management using Markov decision processes (MDP) with reinforcement learning (RL) is described. Partially observable Markov decision processes (POMDP) are also described. To test the validity of these methods, two spoken dialogue systems have been developed. The first one is a spoken dialogue system for weather forecast providing, and the second one is a more complex system for train information. With the first system, comparisons between a rule-based system and an automatically trained system have been done, using a real corpus to train the automatic strategy. In the second system, the scalability of these methods when used in larger systems has been tested.

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This publication captures the outputs of a JISC infoNet conference held in February 2004 in the Royal York Hotel, York. The event was entitled ‘When Worlds Collide’ because it aimed to explore the cultural differences between the different communities involved in developing and supporting learning environments hence the event was promoted in collaboration with ALT and UCISA. We defined learning environment in the broadest sense to encompass all of the structures, systems and processes that impact on the learning experience. For many this is summed up in the term Managed Learning Environment (MLE) although others favour alternative terminologies. The event was thus unusual in that it brought together people, from learning and teaching, MIS, library, administrative and senior management backgrounds, that don’t often get the opportunity to network with one another.

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Case study on a student at East Durham College who was awarded a TechDis ambassador award in 2014 for progressing to level 3 of the animal care diploma using tools and resources in the Moodle VLE.

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Rating enables the information asymmetry existing in the issuer-investor relationship to be reduced, particularly for issues with a high degree of complexity, as is the case of securitizations. However, there may be a serious conflict of interest between the issuer’s choice and remuneration of the agency and the credit rating awarded, resulting in lower quality and information power of the published rating. In this paper, we propose an explicative model of the number of ratings requested, by analyzing the relevance of the number of ratings to measure the reliability, where multirating is shown to be associated to the quality, size, liquidity and the degree of information asymmetry relating to the issue. Thus, we consider that the regulatory changes that foster the widespread publication of simultaneous ratings could help to alleviate the problem of rating model arbitrage and the crisis of confidence in credit ratings in general and in the securitization issues, in particular.

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We conduct experiments to investigate the effects of different majority requirements on bargaining outcomes in small and large groups. In particular, we use a Baron-Ferejohn protocol and investigate the effects of decision rules on delay (number of bargaining rounds needed to reach agreement) and measures of "fairness" (inclusiveness of coalitions, equality of the distribution within a coalition). We find that larger groups and unanimity rule are associated with significantly larger decision making costs in the sense that first round proposals more often fail, leading to more costly delay. The higher rate of failure under unanimity rule and in large groups is a combination of three facts: (1) in these conditions, a larger number of individuals must agree, (2) an important fraction of individuals reject offers below the equal share, and (3) proposers demand more (relative to the equal share) in large groups.