Results 21 to 30 of about 1,341,632 (290)
Contextual Bandits with Budgeted Information Reveal
International Conference on Artificial Intelligence and Statistics ...
Gan, Kyra +3 more
openaire +3 more sources
Contextual Building Selection Based on a Genetic Algorithm in Map Generalization
In map generalization, scale reduction and feature symbolization inevitably generate problems of overlapping objects or map congestion. To solve the legibility problem with respect to the generalization of dispersed rural buildings, selection of ...
Lin Wang +4 more
doaj +1 more source
Truthfulness in Contextual Information Correction [PDF]
Recently, a dual reinforcement process to contextual discounting was introduced. However, it lacked a clear interpretation. In this paper, we propose a new perspective on contextual discounting: it can be seen as successive corrections corresponding to simple contextual lies.
Pichon, Frédéric +3 more
openaire +2 more sources
The extreme sparsity of the rating data seriously affects the recommendation quality of the recommendation system. In order to alleviate the problem of data sparsity, some convolutional neural network (CNN)-based models make full use of text data to ...
Honglong Chen +6 more
doaj +1 more source
Adding generic contextual capabilities to wearable computers [PDF]
Context-awareness has an increasingly important role to play in the development of wearable computing systems. In order to better define this role we have identified four generic contextual capabilities: sensing, adaptation, resource discovery, and ...
Pascoe, Jason
core +3 more sources
Robust energy disaggregation using appliance-specific temporal contextual information [PDF]
An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper.
Mporas, Iosif +2 more
core +3 more sources
Contextual confidence measures for continuous speech recognition [PDF]
This paper explores the repercussion of contextual information into confidence measuring for continuous speech recognition results. Our approach comprises three steps: to extract confidence predictors out of recognition results, to compile those ...
Hernández-Abrego, G +1 more
core +1 more source
Exploiting Contextual Information for Prosodic Event Detection Using Auto-Context [PDF]
Prosody and prosodic boundaries carry significant information regarding linguistics and paralinguistics and are important aspects of speech. In the field of prosodic event detection, many local acoustic features have been investigated; however ...
Johnson, Michael T +5 more
core +2 more sources
Visual Relationship Detection with Contextual Information
Understanding an image goes beyond recognizing and locating the objects in it, the relationships between objects also very important in image understanding. Most previous methods have focused on recognizing local predictions of the relationships.
Li, Yugang +3 more
openaire +3 more sources
A Context-Aware Android Malware Detection Approach Using Machine Learning
The Android platform has become the most popular smartphone operating system, which makes it a target for malicious mobile apps. This paper proposes a machine learning-based approach for Android malware detection based on application features.
Mohammed N. AlJarrah +2 more
doaj +1 more source

