In this brief WEB note we comment on recent papers related to our paper On Acceleration Without Dark Energy [1]. PACS numbers: 98.80.Cq, 95.35.+d, 4.62.+v Electronic address: [email protected] Electronic address: [email protected] Electronic address: [email protected]

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Diese Dissertation wurde selbständig, ohne unerlaubte Hilfe erarbeitet.

Diese Dissertation wurde selbständig, ohne unerlaubte Hilfe erarbeitet.

Model choice and validation have a central role in data analysis, including predictive modeling. While standard diagnostics can help identify model inadequacies, it is natural to use predictive accuracy as the decisive criterion in the final choice of predictive model. A key point is that any assessment of predictive accuracy, theoretical or empirical, inevitably assumes a “data mechanism”, i.e...

CARCINOGENICITY EVALUATION: BATCH #1 Office of Environmental Health Hazard Assessment California Environmental Protection Agency May 1997 Data summaries for 33 chemicals under consideration for carcinogenicity evaluation (i.e., Batch #1) have been finalized, and are presented here. Batch #1 chemicals were selected for prioritization from the tracking database under a process described in the dr...

We define and discuss the definition of a blowup, and then we study the birational geometry of projective surfaces, following Hartshorne chapter V and finishing with Castelnuovo’s criterion and minimal models. Much of the material from Hartshorne chapter II is used without comment. More advanced material is occasionally used without proof but citations are given.

In this paper, we describe our participation in the NTCIR-13 STC Japanese Subtask, in which we develop systems with the retrieval-based method. To retrieve reply texts for a given comment text, our system generates vector representations of both the comment and candidate replies by a 3-layer LSTM-RNN and evaluate distances between the comment vector and the candidate reply vectors, selecting th...

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Many audio and multimedia applications would benefit from the ability to classify and search for audio based on its characteristics. The audio analysis, search, and classification engine described here reduces sounds to perceptual and acoustical features. This lets users search or retrieve sounds by any one feature or a combination of them, by specifying previously learned classes based on thes...