Unsupervised machine-learned analysis of cluster structures, applied using the emergent self-organizing feature maps (ESOM) combined with the unified distance matrix (U-matrix) has been shown to provide an unb...
Authors: Jörn Lötsch, Florian Lerch, Ruth Djaldetti, Irmgard Tegder and Alfred Ultsch
One of the key technologies for future large-scale location-aware services covering a complex of multi-story buildings is a scalable indoor localization technique. In this paper, we report the current status of o...
Authors: Kyeong Soo Kim, Sanghyuk Lee and Kaizhu Huang
Distance metric plays an important role in machine learning which is crucial to the performance of a range of algorithms. Metric learning, which refers to learning a proper distance metric for a particular tas...
Authors: Peipei Yang, Kaizhu Huang and Amir Hussain
A comparative study of the use of bio-inspired optimization technologies including the Cuckoo Search (CS) algorithm, the Differential Evolution (DE) algorithm, and Quantum-behaved Particle Swarm Optimization (...
Authors: Menglong He, Zhao Wang, Mark Leach, Zhenzhen Jiang and Eng Gee Lim
Can biomarkers be used to predict the future work ability of patients admitted to hospital? To answer this question, we use a combination of biological measurements, registry data, data from questionnaires, an...
Authors: Ove Andersen, Linda Camilla Andresen, Louise Lawson-Smith, Lea Sell and Inge Lissau
Practitioners and researchers often found the intrinsic representations of high-dimensional problems has much fewer independent variables. However such intrinsic structure may not be easily discovered due to n...
How to build a suitable discourse topic structure is an important issue in discourse topic analysis, which is the core of natural language understanding. Not only is it the key basic unit to implement automati...
Advertisers optimization is one of the most fundamental tasks in paid search, which is a multi-billion industry as a major part of the growing online advertising market. As paid search is a three-player game (...
Authors: Qiufeng Wang, Kaizhu Huang, Song Li and Wei Yu
Hot springs harbor rich bacterial diversity that could be the source of commercially important enzymes, antibiotics and many more products. Most of the hot springs present in Northeast of India are unexplored ...
Authors: Amrita Kumari Panda, Satpal Singh Bisht, Bodh Raj Kaushal, Surajit De Mandal, Nachimuthu Senthil Kumar and Bharat C. Basistha
In many applications where moderate to large datasets are used, plotting relationships between pairs of variables can be problematic. A large number of observations will produce a scatter-plot which is difficu...
The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for processing and generating large-scale datasets with parallel and distributed algorithms. ...
Authors: Diego García-Gil, Sergio Ramírez-Gallego, Salvador García and Francisco Herrera
Sentiment analysis becomes ubiquitous for a variety of applications used in marketing, commerce, and public sector. This has been raising a natural interest within the academic research and industry to develop...
Authors: Erik Tromp, Mykola Pechenizkiy and Mohamed Medhat Gaber
Link prediction is one of the most fundamental tasks in statistical network analysis, for which latent feature models have been widely used. As large-scale networks are available in various application domains...
In this era of data science, many software vendors are rushing towards providing better solutions for data management, analytics, validation and security. The government, being one of the most important custom...
Authors: Feras A. Batarseh, Ruixin Yang and Lin Deng
Finding orthologous genes among multiple sequenced genomes is a primary step in comparative genomics studies. With the number of sequenced genomes increasing exponentially, comparative genomics becomes more po...
Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are similar and the inter-cluster observations are dissimi...
Authors: Mohammed Ghesmoune, Mustapha Lebbah and Hanene Azzag
Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of w...
The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new hi...
Authors: Salvador García, Sergio Ramírez-Gallego, Julián Luengo, José Manuel Benítez and Francisco Herrera
Data-based modeling is becoming practical in predicting outcomes. In the era of big data, two practically conflicting challenges are eminent: (1) the prior knowledge on the subject is largely insufficient; (2)...
Authors: Yi Wang, Yi Li, Momiao Xiong, Yin Yao Shugart and Li Jin
Mixed Order Hyper Networks (MOHNs) are a type of neural network in which the interactions between inputs are modelled explicitly by weights that can connect any number of neurons. Such networks have a human re...
To ensure the output quality, current crowdsourcing systems highly rely on redundancy of answers provided by multiple workers with varying expertise, however massive redundancy is very expensive and time-consu...
Authors: Man-Ching Yuen, Irwin King and Kwong-Sak Leung
Real world data analysis problems often require nonlinear methods to get successful prediction. Kernel methods, e.g. Kernelized Principal Component Analysis, are a common way to get nonlinear properties based ...
Authors: Haoda Chu, Kaizhu Huang, Rui Zhang and Amir Hussian
Human movement such as physical work, exercise and sport activities can be analyzed to determine kinetic (force) and kinematic (motion) characteristics. In the past, proper assessment of force variables requir...
Authors: Andrew C. Fry, Trent J. Herda, Adam J. Sterczala, Michael A. Cooper and Matthew J. Andre
The International Symposium “Advances in Systems Biology in Neurosciences” was held in February 2015 in Geneva. A hundred scientists with a variety of expertise gathered around the theme of human brain complex...
Authors: Audald Lloret-Villas, Rachel Daudin and Nicolas Le Novère
