Filtering-ranking perceptron learning for partial parsing AX Carreras, BL Màrquez, CJ Castro Machine Learning 60 (1-3), 41, 2005 | 55 | 2005 |
Curso de programación J Castro, F Cucker, X Messeguer, A Rubio, L Solano, B Valles McGraw-Hill/Interamericana de España, 1994 | 52 | 1994 |
Towards feasible PAC-learning of probabilistic deterministic finite automata J Castro, R Gavalda Grammatical Inference: Algorithms and Applications: 9th International …, 2008 | 39 | 2008 |
Simple PAC learning of simple decision lists J Castro, JL Balcázar Algorithmic Learning Theory: 6th International Workshop, ALT'95 Fukuoka …, 1995 | 29 | 1995 |
Nondeterministic Ω‐Computations and the Analytical Hierarchy J Castro, F Cucker Mathematical Logic Quarterly 35 (4), 333-342, 1989 | 26 | 1989 |
A new abstract combinatorial dimension for exact learning via queries JL Balcázar, J Castro, D Guijarro Journal of Computer and System Sciences 64 (1), 2-21, 2002 | 25 | 2002 |
Characterizations of some complexity classes between Θ 2 p and Δ 2 p J Castro, C Seara STACS 92: 9th Annual Symposium on Theoretical Aspects of Computer Science …, 1992 | 21 | 1992 |
The consistency dimension and distribution-dependent learning from queries JL Balcázar, J Castro, D Guijarro, HU Simon Algorithmic Learning Theory: 10th International Conference, ALT’99 Tokyo …, 1999 | 19 | 1999 |
Learning probabilistic automata: A study in state distinguishability B Balle, J Castro, R Gavalda Theoretical Computer Science 473, 46-60, 2013 | 18 | 2013 |
A general dimension for exact learning JL Balcázar, J Castro, D Guijarro Computational Learning Theory: 14th Annual Conference on Computational …, 2001 | 16 | 2001 |
A general dimension for query learning JL Balcázar, J Castro, D Guijarro, J Köbler, W Lindner Journal of Computer and System Sciences 73 (6), 924-940, 2007 | 14 | 2007 |
Complexity classes between and J Castro, C Seara RAIRO-Theoretical Informatics and Applications 30 (2), 101-121, 1996 | 11 | 1996 |
Adaptively learning probabilistic deterministic automata from data streams B Balle, J Castro, R Gavalda Machine learning 96, 99-127, 2014 | 10 | 2014 |
Bootstrapping and learning PDFA in data streams B Balle, J Castro, R Gavalda International Conference on Grammatical Inference, 34-48, 2012 | 10 | 2012 |
Learning nearly monotone k-term DNF J Castro, D Guijarro, V Lavín Information Processing Letters 67 (2), 75-79, 1998 | 9 | 1998 |
The consistency dimension and distribution-dependent learning from queries JL Balcázar, J Castro, D Guijarro, HU Simon Theoretical computer science 288 (2), 197-215, 2002 | 8 | 2002 |
The consistency dimension and distribution-dependent learning from queries JL Balcázar, J Castro, D Guijarro, HU Simon Theoretical computer science 288 (2), 197-215, 2002 | 8 | 2002 |
PACS, simple-PAC and query learning J Castro, D Guijarro Information processing letters 73 (1-2), 11-16, 2000 | 8 | 2000 |
Characterizations of some complexity classes between ΘP 2 and∆ P 2, STACS 92, LNCS 577 J Castro, C Seara Springer-Verlag, 1992 | 7 | 1992 |
Learning probability distributions generated by finite-state machines J Castro, R Gavalda Topics in grammatical inference, 113-142, 2016 | 6 | 2016 |