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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
Future Prospects of Human Interaction with Artificial Autonomous Systems
The growing complexity of intelligent systems and technologies raises questions concerning their interaction with human intelligence. The loss of an ability to control artificial intelligent and autonomous dec...
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Chapter and Conference Paper
A Computationally and Cognitively Plausible Model of Supervised and Unsupervised Learning
Both empirical and mathematical demonstrations of the importance of chance-corrected measures are discussed, and a new model of learning is proposed based on empirical psychological results on association lear...
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Chapter and Conference Paper
K-Component Adaptive Recurrent Neural Network Language Models
Conventional n-gram language models for automatic speech recognition are insufficient in capturing long-distance dependencies and brittle with respect to changes in the input domain. We propose a k-component recu...
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Chapter and Conference Paper
Usage of Mobile Phones for Personalized Healthcare Solutions
One of the greatest hurdles in providing the appropriate healthcare is the availability of proper information at the point of individual’s care. Mobile phone-based health solutions can bridge this gap and can ...
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Chapter and Conference Paper
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)
Data fusion originally referred to the process of combining multi-sensor data from different sources such that the resulting information/model is in some sense better than would be possible when these sources ...