On non representable preferences

In this note, we prove that for every non-separable metric space there is a continuous preference ordering which is non respresentable by an utility function

On non representable preferences.

In this note, we prove that for every non-separable metric space there is a continuous preference ordering which is non respresentable by an utility function.Preference Ordening; Utility Function; Non Separable Metric Space;

Synthesis of Enantiopure Methyl (1S,2S,3R,4S,5R)-2-Amino-3,4,5-trihydroxycyclopentanecarboxylate

The 12th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisThe first total synthesis of enantiopure methyl (1S,2S,3R,4S,5R)-2-amino-3,4,5-trihydroxycyclopentanecarboxylate was carried out according to our recent novel strategy for the transformation of nitrohexofuranoses into cyclopentylamines, which is based on an intramolecular cyclization leading to 2-oxabicyclo[2.2.1]heptane derivatives. Differences in reactivity for this key step were rationallized by using molecular mechanism based calculation

GAMES: A new Scenario for Software and Knowledge Reuse

Games are a well-known test bed for testing search algorithms and learning methods, and many authors have presented numerous reasons for the research in this area. Nevertheless, they have not received the attention they deserve as software projects. In this paper, we analyze the applicability of software and knowledge reuse in the games domain. In spite of the need to find a good evaluation function, search algorithms and interface design can be said to be the primary concerns. In addition, we will discuss the current state of the main statistical learning methods and how they can be addressed from a software engineering point of view. So, this paper proposes a reliable environment and adequate tools, necessary in order to achieve high levels of reuse in the games domain

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

We introduce Deep-HiTS, a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High cadence Transient Survey (HiTS). CNNs have the advantage of learning the features automatically from the data while achieving high performance. We compare our CNN model against a feature engineering approach using random forests (RF). We show that our CNN significantly outperforms the RF model reducing the error by almost half. Furthermore, for a fixed number of approximately 2,000 allowed false transient candidates per night we are able to reduce the miss-classified real transients by approximately 1/5. To the best of our knowledge, this is the first time CNNs have been used to detect astronomical transient events. Our approach will be very useful when processing images from next generation instruments such as the Large Synoptic Survey Telescope (LSST). We have made all our code and data available to the community for the sake of allowing further developments and comparisons at https://github.com/guille-c/Deep-HiTS

A note on representation of references

We consider a class of relations which includes irreflexive preference relations and interdependent preferences. For this class, we obtain necessary and sufficient conditions for representation of the relation by two numerical functions in the sense of a < x if and only if u(a) < v(x)

Sonogashira versus Stephens-Castro Mediated Synthesis of o-Phenylethynylbenzoic Acids, Convenient Precursors of 3-Phenylisocoumarins

The 12th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe describe herein two synthetic approaches to 3-phenyl-5-nitro-isocoumarines, both based on a nitro-facilitated cyclization of o-phenylethynylbenzoic acids obtained by Sonogashira or Stephens-Castro mediated coupling of o-yodobenzoic acids and phenylacetilene

A note on representation of references.

We consider a class of relations which includes irreflexive preference relations and interdependent preferences. For this class, we obtain necessary and sufficient conditions for representation of the relation by two numerical functions in the sense of aPreference; Continuous representation; Pseudotransitivity; Biorders;

Synthesis of Tetrahydroxyazepanes from Shikimic Acid

The 13th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe describe herein a novel synthetical application of shikimic acid, which consist of its transformation into (3R,4S,5R,7S)-7-(hydroxymethyl)azepane-3,4,5-triolWe thank the Spanish Ministry Science and Innovation and the Xunta de Galicia for financial suppor

Preliminary Studies on the Synthesis of Rancinamycins from Nitrosugars

The 9th International Electronic Conference on Synthetic Organic Chemistry session General Organic SynthesisWe thank the Spanish Ministry Education and Science for financial support and for a grant José M. Oter