… our new kernelized version of the query by committee (KQBC), to two learning tasks. The
first task requires classification of synthetic data while the second is a real world problem. …

… The word Committee emphasizes on the fact each predicted label is made by a group of …
This is not feasible in real system where the oracle is a human annotator or labeling the …

… As the label query is based on a collective decision made by a set of classifiers we propose
… decided to use both artificial and real-life data sets, details of which can be found in Table I. …

… Also, how to avoid selecting unconcerned samples to query is … and real data sets show that
our algorithm is able to query … a trade-off must be made between a specific task and a set of …

… The experiments are performed on real data … The only assumption made by the query-learning
system about the learning subsystem is that the hypothesis of the learning subsystem is in …

… In many real-world cases, a large volume of data become available at once with little … is
made to compare the learning curves obtained from earlier stages before it converges. The query …

… imbalance, as might be encountered in realistic data mining settings. ClosestPA is shown to
… [12] and made more practically viable by showing how the committees could be formed by …

… The reasoning comes from many real-life problems where the teacher’s activity is an … not
make a query for tk consecutive instances, then the probability that the queries made so far do …

… Query-By-Committee Our Active learning framework base on Query-bycommittee [18], we
build a committee consist with three SVM classifiers and train this committee used a small …

… The query by committee is a well-known acquisition function. In conventional methods,
committee disagreement is quantified by the Kullback–Leibler divergence. In this paper, the …