Now showing items 1-15 of 15

    • A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases 

      Mocioiu, Victor; de Barros, Nuno M. Pedrosa; Ortega Martorell, Sandra; Slotboom, Johannes; Knecht, Urspeter; Arús, Carles; Vellido Alcacena, Alfredo; Julià Sapé, Margarida (I6doc.com, 2016)
      Conference report
      Open Access
      Machine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ...
    • A Review of Regression Trees Algorithms in C++ and their application 

      Hernández Escavy, Jesús (Universitat Politècnica de Catalunya, 2019-06)
      Bachelor thesis
      Open Access
      En aquesta tesis s'ha desenvolupat un software de generació d'arbres de decisió que fa completament autoexplicatius els arbres generats ja que, a més de la construcció del mateix, s'ha inclòs un conversor de regles lògiques ...
    • A Syntactic characterization of bounded-rank decision trees in terms of decision lsts 

      Galesi, Nicola (1996-03-06)
      External research report
      Open Access
      Decision lists and decision trees are two models of computation for boolean functions. Blum has shown (Information Processing Letters 42 (1992), 183-185) that rank-k decision trees are a subclass of decision lists. ...
    • Adaptive parameter-free learning from evolving data streams 

      Bifet Figuerol, Albert Carles; Gavaldà Mestre, Ricard (2009-03)
      External research report
      Open Access
      We propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time. As an example, we take Hoeffding Tree, an incremental decision tree inducer for data streams, ...
    • Application of classification methods in business intelligence 

      Hashemi, Seyedpedram (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2017-10)
      Master thesis
      Restricted access - author's decision
      In past few years, many start-ups have started working. The few that survive make very important decisions by exploiting available data. This has amplified the importance of Business Intelligence and their tools, which ...
    • Data analysis for risk prevention 

      Saby Solis, Diego (Universitat Politècnica de Catalunya, 2020-04)
      Master thesis
      Restricted access - confidentiality agreement
    • Decision tree statistical learning models. An application to new customer scoring 

      Comella Barbé, Macià (Universitat Politècnica de Catalunya, 2020-02-05)
      Master thesis
      Open Access
      The aim of this thesis is to explore, understand and apply statistical learning methods based on decision trees, specifically individual decision trees and bagging, random forests and gradient boosting methods. In order ...
    • Decision trees have approximate fingerprints 

      Lavín Puente, Víctor Angel; Raghavan, Vijay (1996-04)
      External research report
      Open Access
      We prove that decision trees exhibit the "approximate fingerprint" property, and therefore are not polynomially learnable using only equivalence queries. A slight modification of the proof extends this result to ...
    • Dynamic pipelining of multidimensional range queries 

      Duch Brown, Amalia; Lugosi, Daniel; Pasarella Sánchez, Ana Edelmira; Zoltan Torres, Ana Cristina (2019-06-07)
      Article
      Open Access
      The problem of evaluating orthogonal range queries efficiently has been studied widely in the data structures community. It has been common wisdom for several years that for queries containing more than 20% of the ...
    • Learning agent in heuristic architecture optimization 

      Abelló Gàllego, Clara (Universitat Politècnica de Catalunya, 2015-02)
      Bachelor thesis
      Restricted access - author's decision
      Covenantee:   Cornell University. Sibley School of Mechanical and Aerospace Engineering
      One of the main problems of current system design and architecture tools is the communication between the tool and the user and vice-versa. This work describes an on-going effort to improve that communication by incorporating ...
    • New ensemble methods for evolving data streams 

      Bifet Figuerol, Albert Carles; Holmes, Geoffrey; Pfahringer, Bernhard; Kirkby, R; Gavaldà Mestre, Ricard (Association for Computing Machinery (ACM), 2009)
      Conference report
      Restricted access - publisher's policy
      Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such data streams evolve over time, that is ...
    • Practical algorithms for on-line sampling 

      Domingo Soriano, Carlos; Gavaldà Mestre, Ricard; Watanabe, O (1998-06)
      External research report
      Open Access
      One of the core applications of machine learning to knowledge discovery consists on building a function (a hypothesis) from a given amount of data (for instance a decision tree or a neural network) such that we can use ...
    • Predicting web server crashes: a case study in comparing prediction algorithms 

      Alonso López, Javier; Torres Viñals, Jordi; Gavaldà Mestre, Ricard (IARIA, 2009)
      Conference report
      Open Access
      Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: ...
    • PRESISTANT: Learning based assistant for data pre-processing 

      Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (Elsevier, 2019-09)
      Article
      Open Access
      Data pre-processing is one of the most time consuming and relevant steps in a data analysis process (e.g., classification task). A given data pre-processing operator can have positive, negative, or zero impact on the final ...
    • Structural system identification by dynamic observability technique 

      Peng, Tian (Universitat Politècnica de Catalunya, 2021-05-21)
      Doctoral thesis
      Open Access
      Structure system identification (SSI) can be classified as static and dynamic depending on the type of excitation. SSI by Observability Method (OM) using static tests was proposed and analyzed to address the observability ...