Adaptive Inference for Distinguishing Credible from Incredible Patterns in Nature

Large-vocabulary speech recognition systems are often built using found data, such as broadcast news. In contrast to carefully collected data, found data normally contains multiple acoustic conditions, such as speaker or environmental noise.…

Dialogues generated by the backward chaining control strategy is not adaptive to the user level. To overcome such a limitation, the authors propose the Question & Adapt (Q&A) approach. The Q&A approach generates dialogue at the user…

Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform updates to conditional dependencies. The goal of adaptive inference is to…

We study empirical and hierarchical Bayes approaches to the problem of estimating an infinite-dimensional parameter in mildly ill-posed inverse problems. We consider a class of prior distributions indexed by a hyperparameter that quantifies…

The main objective of short term load forecasting (STLF) is to provide load predictions for generation scheduling, economic load dispatch and security assessment at any time. Thus, STLF is needed to supply necessary information for the system…

In contingency judgment tasks involving 2 event types, individuals weight the a and b cells of a 2 x 2 contingency table more than the c and d cells. Some theorists have argued that they can provide normative justifications for this weighting and…

People can learn word-referent pairs over a short series of individually ambiguous situations containing multiple words and referents (Yu & Smith, 2007, Cognition 106: 1558-1568). Cross-situational statistical learning relies on the repeated…

In stream data processing, data arrives continuously and is processed by decision making, process control and e-science applications. To control and monitor these applications, reproducibility of result is a vital requirement. However, it requires…

We propose a fuzzy supervisor system that, with low development cost, forces the system outputs to be as close as possible to real clinical reasoning. Our targets are: to improve the performance, taking the subjective response to the therapy into…

Modelling space. Explanation of two Science papers, referenced in the article! Distribution of populations in homogenous environments.