Results 331 to 340 of about 14,991,628 (388)
Some of the next articles are maybe not open access.
Text Classification with Active Learning
2006In many real world machine learning tasks, labeled training examples are expensive to obtain, while at the same time there is a lot of unlabeled examples available. One such class of learning problems is text classification. Active learning strives to reduce the required labeling effort while retaining the accuracy by intelligently selecting the ...
Blaž Novak +2 more
openaire +1 more source
Measuring text-graphic activity
1983Proceedings of Graphics Interface '83, Edmonton, Alberta, Canada, 9 - 13 May 1983, 77 ...
openaire +1 more source
Active memory for text information retrieval
Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '88, 1988A Symbolic Associative Processor (SAP), capable of supporting parallel Keyword Match and Record Match functions, is proposed to select and streamline textual data for information retrieval. Consequently, high volume text data could be analysed on-the-fly before being channelled to CPU, and thus, cushion the impact of Von Neumann bottleneck commonly ...
Y. H. Ng, S. P.V. Barros
openaire +1 more source
Texts and Professional Activities
1966In the midst of teaching, research, and administrative activities, Werner still succeeded in producing his two textbooks within the span of a few years. In 1901, he began work on his “Lehrbuch der Stereochemie” (T 1), using as a guide his course lectures on that topic. In a letter of Dec.
openaire +1 more source
Competing Activation During Fantasy Text Comprehension
Scientific Studies of Reading, 2018During comprehension, readers’ general world knowledge and contextual information compete for influence during integration and validation.
Sarah D. Creer +2 more
openaire +1 more source
Deep Active Learning for Text Classification
Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018In recent years, Active Learning (AL) has been applied in the domain of text classification successfully. However, traditional methods need researchers to pay attention to feature extraction of datasets and different features will influence the final accuracy seriously. In this paper, we propose a new method that uses Recurrent Neutral Network (RNN) as
Bang An, Wenjun Wu, Huimin Han
openaire +1 more source
Measurement of Individual Activity (Explicit Text)
2011The data that could be measured is far greater than what is currently measured. Partially this is due to a lack of breadth in what health features are considered medically significant. Partially this is due to a lack of depth in what information technologies are considered practically deployable.
Bruce R. Schatz, Richard B. Berlin
openaire +1 more source
Pointing and Selection Methods for Text Entry in Augmented Reality Head Mounted Displays
International Symposium on Mixed and Augmented Reality, 2019Augmented reality (AR) is on the rise with consumer-level head-mounted displays (HMDs) becoming available in recent years. Text entry is an essential activity for AR systems, but it is still relatively underexplored.
Wenge Xu +3 more
semanticscholar +1 more source
Resolution of activated background information in text comprehension
International Journal of Psychology, 2010The present experiments explored the resolution of activated background information in text comprehension. In Experiment 1, participants read passages that contained an elaboration section that was either consistent or qualified (inconsistent but then corrected to be consistent) with respect to the subsequently presented target sentence (see O'Brien et
Ruiming, Wang +4 more
openaire +2 more sources