AIMC Topic: Algorithms

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Classifying pairs with trees for supervised biological network inference.

Molecular bioSystems
Networks are ubiquitous in biology, and computational approaches have been largely investigated for their inference. In particular, supervised machine learning methods can be used to complete a partially known network by integrating various measureme...

SVM-Based CAC System for B-Mode Kidney Ultrasound Images.

Journal of digital imaging
The present study proposes a computer-aided classification (CAC) system for three kidney classes, viz. normal, medical renal disease (MRD) and cyst using B-mode ultrasound images. Thirty-five B-mode kidney ultrasound images consisting of 11 normal im...

Machine learning: Trends, perspectives, and prospects.

Science (New York, N.Y.)
Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core...

[Dynamic Detection of Fresh Jujube Based on ELM and Visible/Near Infrared Spectra].

Guang pu xue yu guang pu fen xi = Guang pu
Jujube was rich in nutrition and variety. In different varieties, there were very different from the market price to the qualities of internal and external. In order to realize the rapid and non-destructive detection of fresh jujubes' classification,...

Evolutionary game dynamics of controlled and automatic decision-making.

Chaos (Woodbury, N.Y.)
We integrate dual-process theories of human cognition with evolutionary game theory to study the evolution of automatic and controlled decision-making processes. We introduce a model in which agents who make decisions using either automatic or contro...

Exploiting ontology graph for predicting sparsely annotated gene function.

Bioinformatics (Oxford, England)
MOTIVATION: Systematically predicting gene (or protein) function based on molecular interaction networks has become an important tool in refining and enhancing the existing annotation catalogs, such as the Gene Ontology (GO) database. However, functi...

Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.

Bioinformatics (Oxford, England)
MOTIVATION: Despite ongoing cancer research, available therapies are still limited in quantity and effectiveness, and making treatment decisions for individual patients remains a hard problem. Established subtypes, which help guide these decisions, a...

Should You Trust Your Money to a Robot?

Big data
Financial markets emanate massive amounts of data from which machines can, in principle, learn to invest with minimal initial guidance from humans. I contrast human and machine strengths and weaknesses in making investment decisions. The analysis rev...