Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled data, such algorithms automatically select the salient and representative samples for manual annotation. Batch mode active learning schemes have been recently proposed to select a batch of data instances simultaneously, ra...

a shortcut procedure as quick, easy-to use method for design and simulation of multicomponent batch distillation is used to predict the operating condition of recovering xylene from solvent in an existing batch distillation column in benzol refinery. the procedure can be used to investigate the effect of the operating parameters on the operation of column for three possible modes of batch disti...

In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in a batch mode. Experiments show that the answers to the many of the questions in the series usually have a high degree of co-occurrence in relevant document passages. This feature sometimes can’t be easily utilized in a...

A high yielding, batch mode synthesis of diaryl ethers and sulfides by an S(N)Ar fluoride-mediated process in scCO(2) has been developed; the use of a polymer-supported imidazolium fluoride reagent in batch mode led to the development of a fixed-bed continuous flow process, with high conversions.

This study discusses the retention of Ni(II) by Arthrobacter viscosus supported on zeolite 13 X in batch mode and in continuous mode, at laboratory scale and at pilot scale. The maximum adsorption capacities of 28.37, 20.21 and 11.13 mg/g were recorded for lab scale batch, for continuous lab scale minicolumns and for pilot scale bioreactors, respectively. The Sips isotherm and pseudo second ord...

Recently, batch-mode active learning has attracted a lot of attention. In this paper, we propose a novel batch-mode active learning approach that selects a batch of queries in each iteration by maximizing a natural mutual information criterion between the labeled and unlabeled instances. By employing a Gaussian process framework, this mutual information based instance selection problem can be f...

Guanosine 5’-diphospho-β-l-fucose (GDP-Fuc) is an important and expensive nucleotide sugar only available in low quantities. We established two processes for the gram-scale production of GDP-Fuc with multi-enzyme cascades. used bifunctional enzyme fucokinase/GDP-fucose pyrophosphorylase from Bacteroides fragilis either ATP-regeneration system using polyphosphate or excess ATP. The optimized mod...

We propose a method for dynamic batch mode active learning where the batch size and selection criteria are integrated into a single formulation.

A marked enhancement in the production of cell-bound phytase in Pichia anomala was achieved in cyclic fed batch fermentation (47333 UL -1 ) in comparison with that in batch (11569 UL -1 ) and fixed volume fed batch (36911 UL -1 ) fermentations in cane molasses medium. Phytase productivity was sustainable in cyclic fed batch fermentation over seven days, and therefore, this mode of fed batch fer...

Reinforcement learning aims to determine an optimal control policy from interaction with a system or from observations gathered from a system. In batch mode, it can be achieved by approximating the so-called Q-function based on a set of four-tuples (xt ,ut ,rt ,xt+1) where xt denotes the system state at time t, ut the control action taken, rt the instantaneous reward obtained and xt+1 the succe...