Copper Range Railroad General Freight Department Rules and Regulations

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Evaluating retraining rules for semi-supervised learning in neural network based cursive word recognition

Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, including the generation of the ground truth, is tedious and costly. One way of reducing the high cost of labeled training data acquisition is to exploit unlabeled data, which can be gathered easily. Making use of both labeled and unlabeled data is known as semi-supervised learning. One of the most general versions of semi-supervised learning is self-training, where a recognizer iteratively retrains itself on its own output on new, unlabeled data. In this paper we propose to apply semi-supervised learning, and in particular self-training, to the problem of cursive, handwritten word recognition. The special focus of the paper is on retraining rules that define what data are actually being used in the retraining phase. In a series of experiments it is shown that the performance of a neural network based recognizer can be significantly improved through the use of unlabeled data and self-training if appropriate retraining rules are applied.

Thin Capitalization Rules and Entrepreneurial Capital Structure Decisions

Tax planners often choose debt over equity financing. As this has led to increased corporate debt financing, many countries have introduced thin capitalization rules to secure their tax revenues. In a general capital structure model we analyze if thin capitalization rules affect dividend and financing decisions, and whether they can partially explain why corporations receive both debt and equity capital. We model the Belgian, German and Italian rules as examples. We find that the so-called Miller equilibrium and definite financing effects depend significantly on the underlying tax system. Further, our results are useful for the treasury to decide what thin capitalization type to implement.

Regulations on E-Commerce Consumer Protection Rules in China and Europe Compared – Same Same but Different?

This article provides a comprehensive overview of the regulations on e-commerce protection rules in China and the European Union. It starts by giving a general overview of different approaches towards consumer protection in e-commerce. This article then scrutinizes the current legal system in China by mainly focusing on SAIC’s “Interim Measures for the Administration of Online Commodity Trading and Relevant Service Activities”. The subsequent chapter covers the supervision of consumer protection in e-commerce in China, which covers both the regulatory objects of online commodity trading and the applied regulatory mechanisms. While the regulatory objects include operating agents, operating objects, operating behavior, electronic contracts, intellectual property and consumer protection, the regulatory mechanisms for e-commerce in China combines market mechanism and industry self-discipline under the government’s administrative regulation. Further, this article examines the current European legal system in online commodity trading. It outlines the aim and the scope of EU legislation in the respective field. Subsequently, the paper describes the European approach towards the supervision of consumer protection in e-commerce. As there is no central EU agency for consumer protection in e-commerce transactions, the EU stipulates a framework for Member States’ institutions, thereby creating a European supervisory network of Member States’ institutions and empowers private consumer organisations to supervise the market on their behalf. Moreover, the EU encourages the industry to self- or co-regulate e-commerce by providing incentives. Consequently, this article concludes that consumer protection may be achieved by different means and different systems. However, even though at first glance the Chinese and the European system appear to differ substantially, a closer look reveals tendencies of convergence between the two systems.

Spanish Supreme Court Rules in Favour of Google Search Engine... and a Flexible Reading of Copyright Statutes?

On 3 April 2012, the Spanish Supreme Court issued a major ruling in favour of the Google search engine, including its ‘cache copy’ service: Sentencia n.172/2012, of 3 April 2012, Supreme Court, Civil Chamber.* The importance of this ruling lies not so much in the circumstances of the case (the Supreme Court was clearly disgusted by the claimant’s ‘maximalist’ petitum to shut down the whole operation of the search engine), but rather on the court going beyond the text of the Copyright Act into the general principles of the law and case law, and especially on the reading of the three-step test (in Art. 40bis TRLPI) in a positive sense so as to include all these principles. After accepting that none of the limitations listed in the Spanish Copyright statute (TRLPI) exempted the unauthorized use of fragments of the contents of a personal website through the Google search engine and cache copy service, the Supreme Court concluded against infringement, based on the grounds that the three-step test (in Art. 40bis TRLPI) is to be read not only in a negative manner but also in a positive sense so as to take into account that intellectual property – as any other kind of property – is limited in nature and must endure any ius usus inocui (harmless uses by third parties) and must abide to the general principles of the law, such as good faith and prohibition of an abusive exercise of rights (Art. 7 Spanish Civil Code).The ruling is a major success in favour of a flexible interpretation and application of the copyright statutes, especially in the scenarios raised by new technologies and market agents, and in favour of using the three-step test as a key tool to allow for it.