In this work, we address optimization problems where the objective function is a nonlinear of an expected value, i.e., compositional stochastic programs. We consider case decision variable not vector-valued but instead belongs to Reproducing Kernel Hilbert Space (RKHS), motivated by risk-aware formulations supervised learning. develop first memory-efficient algorithm for setting, which call Com...

The combination of productivity, dynamics and grounding imposes constraints that require specific architectures for their combined implementation. Grounding of representations can be achieved with specific neuronal assembly structures, which can be distributed over different brain areas. This entails that grounded conceptual representations cannot be copied, transported and pasted to form compo...

How do people learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is accomplished by harnessing compositionality: complex structure is decomposed into simpler building blocks. We formalize this idea within the framework of Bayesian regression using a grammar over Gaussian process kernels. We show that participants prefer compo...

Little attention has been paid to distributional compositional methods which employ syntactically structured vector models. As word vectors belonging to different syntactic categories have incompatible syntactic distributions, no trivial compositional operation can be applied to combine them into a new compositional vector. In this article, we generalize the method described by Erk and Padó (20...

A new compositional technique for hand posture recognition is described. Compositional methods are a powerful approach in image understanding. Most papers using this concept address image categorization problems. We recently propose a hand pose recognition method using the compositional approach. In this paper we present further development of our method and new results. Key-Words: compositiona...

Stellar evolution models calculate convective boundaries using either the Schwarzschild or Ledoux criterion, but confusion remains regarding which criterion to use. Here we present a 3D hydrodynamical simulation of convection zone and adjacent radiative zone, including both thermal compositional buoyancy forces. As expected, regions are unstable according convective. Initially, is Schwarzschild...

Selective laser melting (SLM) forming technology to prepare nickel-based superalloy parts can significantly save costs and solve bottleneck problems. The extremely high-temperature gradient large residual stress during SLM lead structural defects compositional segregation. formed by urgently need heat treatment control the microstructure composition improve mechanical properties. Results showed...

1. Understanding how species in a diverse regional pool are spatially distributed with respect to habitat types is a longstanding problem in ecology. Tropical species are expected to be specialists along environmental gradients, and this should result in rapid compositional change (high beta diversity) across landscapes, particularly when alpha diversity is a small fraction of regional diversit...

This project examined the effects of ecological factors and anthropogenic contaminants on benthic diatom communities near Casey Station, in the Windmill Islands, Antarctica. Preliminary sampling indicated significant compositional differences occurred between diatom communities in bays immediately adjacent to Casey Station and those more distant. Subsequently, a more detailed appraisal of spati...