We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance structure. We use Random Kitchen Sink features to flexibly define a change surface in combination with expressive spectral mixture kernels to capture the complex statistical structure. Through the use of novel methods f...

The research areas of causal and counterfactual reasoning, hindsight bias and regret, have often been studied in isolation, sometimes studied in pairs, and occasionally studied in triads. I suggest that there are common mechanisms shared by these judgments that explain how, when, and why they will (a) be similarly or differently affected by information and (b) influence each other. To start, I ...

Since becoming editor of AMR, I have tried to ment? and (c) What factors are considered in find a simple way to communicate the necesjudging conceptual papers? The first section desary ingredients of a theoretical contribution. scribes the constituent elements of a theory. The There are several excellent treatises on the subsecond section uses this framework to establish j ect, but they typical...

Compactification and symmetry breaking events in theories of heterotic superstrings implicitly indicate five inflation events. Scales of 10 ly and larger are modeled in terms of these events. The proposed model accounts qualitatively for recent observations (of galactic clusters that lie on ”thin,.. semispherical shells”) and motivates a calculation that accounts (approximately) for the observe...

Intensively managed pine forests in the southeastern United States are considered an important C sink and may play a critical role in offsetting increased global CO2 emissions. The combination of improved silvicultural methods and the use of superior genotypes are estimated to result in future volume gains of up to 60 percent. However to date, no work has looked at whether selection of elite ge...

This study clarifies the involvement of shortand long-term memory in novel word-form learning, using the Hebb repetition paradigm. In Experiment 1, participants recalled sequences of visually presented syllables (e.g., la-va-bu-sa-fa-ra-re-si-di), with one particular (Hebb) sequence repeated on every third trial. Crucially, these Hebb sequences contained three orthographic nonword neighbours of...

Simulated kitchen waste was developed in this study to overcome the problem of kitchen waste variation composition. The performance of organic acids production was compared between the simulated kitchen waste and original kitchen waste. Both substrates were subjected to anaerobic digestion by indigenous mixed microflora from fermented kitchen waste in a 250 mL shake flasks. The condition used w...

Recent years have seen growing interest in data-driven approaches to personalized interactive narrative generation and drama management. Reinforcement learning (RL) shows particular promise for training policies to dynamically shape interactive narratives based on corpora of player-interaction data. An important open question is how to design reinforcement learning-based drama managers in order...

Technological advancements have taken us closer to the “kitchen of the future” where everyday kitchen activities are seamlessly integrated with smart computing services. While there exist smart kitchen approaches, the explorative nature of the field encourages novel designs. This paper follows the trend by describing the design and development of the Kitchen AS-A-PAL, an infrastructure for faci...