Current successful probabilistic parsers require large treebanks which are difficult, time consuming, and expensive to produce. Some parts of these data do not contain any useful information for training a parser. Active learning strategies allow to select the most informative samples for annotation. Most existing active learning strategies for parsing rely on selecting uncertain sentences for ...

Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing states of the world (the world is in effect partially observable). If reinforcement learning is used to train the robot, then this confounding of states can have a serious effect on its ability to learn optimal and stable poli...

With active learning the learner participates in the process of selecting instances so as to speed-up convergence to the “best” model. This paper presents a principled method of instance selection based on the recent bias variance decomposition work for a 0-1 loss function. We focus on bias reduction to reduce 0-1 loss by using an approximation to the optimal Bayes classifier to calculate the b...

This paper develops both single and multi-UAV path planning schemes for navigating over partially known terrain in GPS-denied environments. The UAVs perform Simultaneous Localisation And Mapping (SLAM) using a combination of on-board inertial sensors and an on-board terrain sensor and share map information with one another over a data fusion network. UAV paths across the terrain are planned suc...

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We propose a general purpose active learning algorithm for structured prediction – gathering labeled data for training a model that outputs a set of related labels for an image/video. Active learning starts with a limited initial training set, then iterates querying a user for labels on unlabeled data and retraining the model. We propose a novel algorithm for selecting data for labeling, choosi...

Bipolaris oryzae causes rice brown spot disease which reduces rice yield with substantial global impact. Streptomycetes isolated from rice fields of Guilan Province, Iran, showed antifungal activity against the tested pathogen. From five active Streptomyces spp. isolates, isolate G showed high antagonistic activity. To determine its taxonomical identity, its colonies character...

Addition of cell walls to the peptidoglycan synthetase-acceptor system containing vancomycin (50 mug/ml) prevented the inhibition by the antibiotic. In addition, the inhibition of incorporation of [(14)C]muramyl-pentapeptide into peptidoglycan in the presence of vancomycin was reversed by the addition of cell walls to the assay mixture at 60 min. Cell walls previously saturated with vancomycin ...

Reconfigurable intelligent surface (RIS) has emerged as a promising technology to enhance the spectral efficiency of wireless communication systems. However, if there are many obstacles between RIS and users, single may not provide sufficient performance. For this reason, double RIS-aided system is proposed in paper. also problem: signal attenuated three times due channels created by RIS. To ov...