Exploració per autor "Castro Rabal, Jorge"
Ara es mostren els items 1-20 de 27
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A lower bound for learning distributions generated by probabilistic automata
Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
Text en actes de congrés
Accés obertKnown algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. ... -
A New abstract combinatorial dimension for exact learning via queries
Balcázar Navarro, José Luis; Castro Rabal, Jorge; Guijarro Guillem, David (2000-02)
Report de recerca
Accés obertWe introduce an abstract model of exact learning via queries that can be instantiated to all the query learning models currently in use, while being closer to them than previous unificatory attempts. We present a ... -
A note on bounded query learning
Castro Rabal, Jorge (2005-04)
Report de recerca
Accés obertWe study in this note the relationships between two usual models of learning via queries: the so-called exact and bounded learning models. One of our goals is to point out under which conditions the learning dimension ... -
A Note on learning decision lists
Castro Rabal, Jorge (1995-01)
Report de recerca
Accés obertWe show an algorithm that learns decision lists via equivalence queries, provided that a set G including all terms of the target list is given. The algorithm runs in time polynomial in the cardinality of G. From this last ... -
Adaptively learning probabilistic deterministic automata from data streams
Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (2014-07)
Article
Accés restringit per política de l'editorialMarkovian models with hidden state are widely-used formalisms for modeling sequential phenomena. Learnability of these models has been well studied when the sample is given in batch mode, and algorithms with PAC-like ... -
Bootstrapping and learning PDFA in data streams
Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (2012)
Text en actes de congrés
Accés obertMarkovian models with hidden state are widely-used formalisms for modeling sequential phenomena. Learnability of these models has been well studied when the sample is given in batch mode, and algorithms with PAC-like ... -
Characterizations of some complexity classes between [theta sub 2 super p] and [delta sub 2 super p]
Castro Rabal, Jorge; Seara Ojea, Carlos (1990)
Report de recerca
Accés obertWe give some characterizations of the classes P super NP [0(log super k n)]. First, we show that these classes are equal to classes AC super k-1 (N P). Second, we prove that they are also equivalent to some classes defined ... -
Learning nearly monotone k-term DNF
Castro Rabal, Jorge; Guijarro Guillem, David; Lavín Puente, Víctor Angel (1996-09)
Report de recerca
Accés obertThis note studies the learnability of the class k-term DNF with a bounded number of negations per term. We study the case of learning with membership queries alone, and give tight upper and lower bounds on the ... -
Learning PDFA with asynchronous transitions
Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2010)
Comunicació de congrés
Accés obertIn this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time lengths, governed by exponential distributions. -
Learning probabilistic automata : a study in state distinguishability
Balle Pigem, Borja de; Castro Rabal, Jorge; Gavaldà Mestre, Ricard (2013-02-18)
Article
Accés restringit per política de l'editorialKnown algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability μ of the target machine, besides the number of states and the usual accuracy and confidence parameters. We ... -
Learning probability distributions generated by finite-state machines
Castro Rabal, Jorge; Gavaldà Mestre, Ricard (Springer, 2016)
Capítol de llibre
Accés obertWe review methods for inference of probability distributions generated by probabilistic automata and related models for sequence generation. We focus on methods that can be proved to learn in the inference in the limit ... -
Measuring investment opportunities under uncertainty
Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (Springer, 2019)
Text en actes de congrés
Accés obertIn order to make sound economic decisions it is important to measure the possibilities offered by a market in relation to investments. Provided an investment scheme S = (r; R1, . . . , Rn), where r is a lower bound on the ... -
On the query complexity of quantum learners
Castro Rabal, Jorge (2005-06)
Report de recerca
Accés obertThis paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setting have quantum counterparts. A combinatorial notion, ... -
Ordocoordinación: cómo organizar 700 estudiantes en un nuevo campus (y no morir en el intento)
Castro Rabal, Jorge; Farreres de la Morena, Xavier; Gabarró Vallès, Joaquim; Nivela Alós, M. Pilar Brígida; Pérez Poch, Antoni; Pino Blanco, Elvira; Rivero Almeida, José Miguel (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)
Text en actes de congrés
Accés obertSince Autumn Term 2017 the Department of Computer Science of the Universitat Politecnica de Catalunya UPC-BarcelonaTech is in charge of teaching ”Fundamentals of Programming” in the new DiagonalBeso ´s Campus, at EEBE ... -
Power to invest
Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (2018)
Text en actes de congrés
Accés obertIn this post recession time it is important to measure the possibilities offered by a society in relation to investments. To do that, we consider an investment schema I= (R;R_1,...,R_n) where R is a lower bound on the ... -
Programming 1 and sustainability
Castro Rabal, Jorge; Cortadella, Jordi; Gabarró Vallès, Joaquim; Garcia Pujol, Albert; Vidal López, Eva María (Universitat Politècnica de Catalunya, 2022-09)
Text en actes de congrés
Accés obertComputer programming is an essential skill for today's engineers, and sustainability plays a role of growing interest in any of the design phases of an engineering project. The fundamentals of sustainability, with basic ... -
Query, PACS and simple-PAC learning
Castro Rabal, Jorge; Guijarro Guillem, David (1998-01)
Report de recerca
Accés obertWe study a distribution dependent form of PAC learning that uses probability distributions related to Kolmogorov complexity. We relate the PACS model, defined by Denis, D'Halluin and Gilleron, with the standard simple-PAC ... -
Refining the imprecise meaning of non-determinism in the Web by strategic games
Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (Springer, 2019)
Text en actes de congrés
Accés obertNowadays interactions with the World Wide Web are ubiquitous. Users interact through a number of steps consisting of site calls and handling results that can be automatized as orchestrations. Orchestration results have ... -
Refining indeterministic choice: Imprecise probabilities and strategic thinking
Castro Rabal, Jorge; Gabarró Vallès, Joaquim; Serna Iglesias, María José (2020-11)
Article
Accés obertOften, uncertainty is present in processes that are part of our routines. Having tools to understand the consequences of unpredictability is convenient. We introduce a general framework to deal with uncertainty in the realm ... -
Simple PAC learning of simple decision lists
Castro Rabal, Jorge; Balcázar Navarro, José Luis (1995-06)
Report de recerca
Accés obertWe prove that log n-decision lists - the class of decision lists such that all their terms have low Kolmogorov complexity - are learnable in the simple PAC learning model. The proof is based on a transformation from an ...