[PDF] Top 20 What is active learning?

... about what you asked them to do—they can just relax and talk about the football game, and eventually someone else will supply the ...and active learning is almost guaranteed to ... See full document

... behind active learning is that a pattern recognition algorithm can obtain computational and performance accuracy efficiency by utilising fewer training labels if it is allowed to find the most informative ... See full document

... of the regression function and N is the size of the training data set. We were able to partially extend this claim to the case of active learning: first, we obtain minimax lower bounds for the excess risk ... See full document

... and active learning is not the cure for all educational ...of active learning most commonly discussed in the educational literature and analyzed ... See full document

... of active learning began with studies of the realizable case, a setting in which the labels are assumed to be consistent with some classifier in a known hypothesis class, and have no noise (Cohn, Atlas, and ... See full document

... “constructive” active learning method for binary classi- fication. The learning algorithm is initially formulated for separable classification problems, for a hyperspherical data space with constant ... See full document

... We present an active learning method for coreference resolution that is novel in three re- spects. (i) It uses bootstrapped neighborhood pooling, which ensures a class-balanced pool even though gold labels ... See full document

... Sindhwani (Sindhwani et al., 2009) simultane- ously developed an active learning method that queries for both instance and feature labels that are then used in a graph-based learning algorithm. They ... See full document

... of Active learning as a teaching strategy in higher education has afforded many more studies particularly considering the perceptions of students and lecturers when it comes to using ...in learning ... See full document

... cooperative learning, group work, demonstration, student independent work by giving homework/assignments, inquiry method, case study, and educational visits/field ...apply active learning in the ... See full document

... the active learning experiments we kept the same folds, us- ing one for the initial training, eight for the ac- tive learning phase, and the remaining one for test- ... See full document

... In subspace clustering, points are clustered according to their underlying subspaces. There are different ways of mea- suring how likely a point is misclassified. One approach is to consider points whose projection onto ... See full document

... for active learning has to do with exploiting cluster structure in ...of active learning is a bit of an unexplored wilderness as far as theory ... See full document

... methods to try and harness the potential of groupwork and active learning during the two years of study. A successful addition, undertaken in the early part of the course was a three day residential away ... See full document

... traditional active learning paradigms only focus on the num- ber of examples labeled (queries issued) and the prediction accuracy of the final model ...the learning process which in fact is very ... See full document

... Active learning with document selection is a much more realistic representation of conventional anno- tation methods. Conventionally, a set of documents is selected, and each document is annotated exhaus- ... See full document

... where active learning performed worse than random sampling, highlight the need for developing stopping criteria for ac- tive learning such as (Laws and Sch¨atze, 2008; Bloodgood and Vijay-Shanker, ... See full document

... This article describes a real (non- synthetic) active-learning experiment to obtain supersense annotations for Dan- ish. We compare two instance selection strategies, namely lowest-prediction confidence (M ... See full document

... As we want to compare time requirements needed for annotating random samples and sen- tences selected by active learning, we had to con- trol for training effects which might speed up the annotation. ... See full document

... namely Active Vector Rotation (AVR), which takes advantage of both active learning and transfer learning ...unsupervised learning techniques to make source and target domain’s ... See full document