Metagenomics experiments often characterize microbial communities by sequencing the ribosomal 16S and ITS regions. Taxonomy prediction is a fundamental step in such studies. The SINTAX algorithm predicts taxonomy by using k-mer similarity to identify the top hit in a reference database and provides bootstrap confidence for all ranks in the prediction. SINTAX achieves comparable or better accura...

In this paper we describe our taxonomy of object-oriented classes that catalogs each class in an application based on the characteristics of that class. We present a mapping algorithm that matches the class under test to a list of implementation-based testing techniques, providing feedback to the tester describing the characteristics of the class that are suitably tested by each testing techniq...

We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several criteria. We also define a formal framework that make it possible to describe all methods using the same terminology, and apply it in a review of the state-of-the-art in learning algorithm and classifier evaluation. Th...

Many different perspectives have been adopted regarding the form of learning labelled as metalearning, with little to no consensus as to a proper definition. As such, a general definition and taxonomy of meta-learning techniques defined, segmenting meta-learning into two categories: mono-problem and multi-problem. A further taxonomy of multi-problem metalearning methods is then described, empha...

Ensemble methodology, which builds a classification model by integrating multiple classifiers, can be used for improving prediction performance. Researchers from various disciplines such as statistics, pattern recognition, and machine learning have seriously explored the use of ensemble methodology. This paper presents an updated survey of ensemble methods in classification tasks, while introdu...

Particle Swarm Optimization (PSO) is a popular algorithm used extensively in continuous optimization. One of its well-known drawbacks is its propensity for premature convergence. Many techniques have been proposed for alleviating this problem. One of the popular and promising approaches is low-level hybridization (LLH) of PSO with Genetic Algorithm (GA). Nevertheless, the LLH implementation is ...

This paper proposes a framework to automatically construct taxonomies from a corpus of text documents. This framework first extracts terms from documents using a part-of-speech parser. These terms are then filtered using domain pertinence, domain consensus, lexical cohesion, and structural relevance. The remaining terms represent concepts in the taxonomy. These concepts are arranged in a hierar...

This paper describes the system submitted by the TALN-UPF team to SEMEVAL Task 17 (Taxonomy Extraction Evaluation). We present a method for automatically learning a taxonomy from a flat terminology, which benefits from a definition corpus obtained by querying the BabelNet semantic network. Then, we combine a machine-learning algorithm for term-hypernym extraction with linguistically-motivated h...