Titlebook: Hybrid Artificial Intelligent Systems; 8th International Co Jeng-Shyang Pan,Marios M. Polycarpou,Emilio Corcha Conference proceedings 2013

Iniquitous

A First Approach to Deal with Imbalance in Multi-label Datasets-label datasets. Actually, the imbalance level in multi-label datasets uses to be much larger than in binary or multi-class datasets. Notwithstanding, the proposals on how to measure and deal with imbalanced datasets in multi-label classification are scarce..In this paper, we introduce two measures

Polydipsia

Simulating a Collective Intelligence Approach to Student Team Formationrtunately, looking for optimal or near optimal teams is a costly task for humans due to the exponential number of outcomes. For this reason, in this paper we present a computer-aided policy that facilitates the automatic generation of near optimal teams based on collective intelligence, coalition st

Hypopnea

A Counting-Based Heuristic for ILP-Based Concept Discovery Systems Although such systems have a history of more than 20 years and successful applications in various domains, they are still vulnerable to scalability and efficiency issues —mainly due to large search spaces they build. In this study we propose a heuristic to select a target instance that will lead to

habile

Extracting Sequential Patterns Based on User Defined Criterian mining algorithms have been developed that mine the set of frequent subsequences satisfying a minimum support constraint in a transaction database. In this paper, a hybrid framework to sequential pattern mining problem is proposed which combines clustering together with a novel pattern extraction

ETHER

意外的成功

FECT

José M. Fernández-de-Alba,Rubén Fuentes-Fernández,Juán Pavónloge, Noten, Liederblätter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenhänge und Muster zu erkennen. Mögliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne

不规则

Pablo Campillo-Sanchez,Jorge J. Gómez-Sanz,Juan A. Botíaloge, Noten, Liederblätter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenhänge und Muster zu erkennen. Mögliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne

yohimbine

我没有命令

Dragan Simić,Vasa Svirčević,Svetlana Simićloge, Noten, Liederblätter etc.) aus der Musik zu verstehen. Sie setzt sich das Ziel, aus einer Vielzahl an Daten Zusammenhänge und Muster zu erkennen. Mögliche Einsatzgebiete sind Music Recommendation, Audio Identification, Playlist Generation oder auch die Hit Song Science – um nur wenige zu nenne