We study pool-based active learning with abstention feedbacks where a labeler can abstain from labeling queried example some unknown rate. This is an important problem many useful applications. take Bayesian approach to the and develop two new greedy algorithms that learn both classification rate at same time. These are achieved by simply incorporating estimated average into criteria. prove hav...

having in mind the high level of challenge in writing as a foreign language, this research provided iranian efl learners with audiovisual feedbacks as an alternative of common written feedback and focused on its’ meaningfulness in order to provide an incentive medium for the participants and increase their moti-vation. one hundred young adult female learners in addition to six english language ...

[1] Positive feedbacks between the terrestrial carbon cycle and climate represent an outstanding area of uncertainty in simulations of future climate change. Coupled climatecarbon cycle models have simulated widely divergent feedback magnitudes, and attempts to explain model differences have had only limited success. In this study, we demonstrate that the response of vegetation primary producti...

The atypical cadherins Fat and Dachsous (Ds) have been found to underlie planar cell polarity (PCP) in many tissues. Theoretical models suggest that polarity can arise from localized feedbacks on Fat-Ds complexes at the cell boundary. However, there is currently no direct evidence for the existence or mechanism of such feedbacks. To directly test the localized feedback model, we developed a syn...

5 An approach to climate change feedback analysis is described in which tropospheric relative 6 humidity replaces specific humidity as the state variable that, along with the temperature 7 structure, surface albedos and clouds, controls the magnitude of the response of global mean 8 surface temperature to a radiative forcing. Despite being simply a regrouping of terms 9 in the feedback analysis...

Understanding relationship between noisy dynamics and biological network architecture is a fundamentally important question, particularly in order to elucidate how cells encode and process information. We analytically and numerically investigate general network architectural conditions that are necessary to generate stochastic amplified and coherent oscillations. We enumerate all possible topol...

Feature relevance estimation is one of the most successful techniques used for improving the retrieval results of a content-based image retrieval (CBIR) system based on users’ feedbacks. In this class of approaches, the weights of the feature elements (FEs) are adjusted based on the relevance feedbacks (RFs) given by the users to reduce the socalled semantic gap in the underlying CBIR system. A...

Given a pair of matrices representing a controllable linear system, we study its equivalence classes by the single or combined action of feedbacks and change of state and input variables, as well as their intersections. In particular, we prove that they are differentiable manifolds and we compute their dimensions. Some remarks concerning the effect of different kinds of feedbacks are derived. K...