Philippe Moser

Philippe Moser, Robert Kelly, Conor McMenamin, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Pushdown and Lempel-Ziv Depth pdf

Philippe Moser, Liam Jordon, 2020, ArXiv.

Polylog depth, highness and lowness for E

Philippe Moser, 2020, Inf. Comput..

A General Notion of Useful Information

Philippe Moser, 2008, CSP.

Baire's Categories on Small Complexity Classes

Philippe Moser, 2003, FCT.

Dimension spectra of random subfractals of self-similar fractals

Jack H. Lutz, Philippe Moser, Elvira Mayordomo, 2014, Ann. Pure Appl. Log..

Resource-bounded measure on probabilistic classes

Philippe Moser, 2008, Inf. Process. Lett..

On the Difference Between Finite-State and Pushdown Depth

Philippe Moser, Liam Jordon, 2020, SOFSEM.

Martingale Families and Dimension in P

Philippe Moser, 2006, CiE.

Are people smarter than machines

Philippe Moser, Phil Maguire, Rebecca Maguire, 2020 .

ZPP is hard unless RP is small

Philippe Moser, 2002, Electron. Colloquium Comput. Complex..

Relative to P, APP and promise-BPP are the same

Philippe Moser, 2001, Electron. Colloquium Comput. Complex..

Locally Computed Baire's Categories on Small Complexity Classes

Philippe Moser, 2003, Electron. Colloquium Comput. Complex..

A generalization of Lutz's measure to probabilistic classes

Philippe Moser, 2002, Electron. Colloquium Comput. Complex..

On the Polynomial Depth of Various Sets of Random Strings

Philippe Moser, 2011, TAMC.

A Deep Context Grammatical Model For Authorship Attribution

Philippe Moser, Phil Maguire, Simon Fuller, 2014, LREC.

RP is Small in SUBEXP else ZPP equals PSPACE and NP equals EXP

Philippe Moser, 2003, Electron. Colloquium Comput. Complex..

A zero-one SUBEXP-dimension law for BPP pdf

Philippe Moser, 2011, Inf. Process. Lett..

A probabilistic risk-to-reward measure for evaluating the performance of financial securities

Philippe Moser, Robert Kelly, Phil Maguire, 2013, 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Polylog Space Compression Is Incomparable with Lempel-Ziv and Pushdown Compression

Philippe Moser, Elvira Mayordomo, Philippe Moser, 2009, SOFSEM.

A Computational Theory of Subjective Probability pdf

Mark T. Keane, Philippe Moser, Phil Maguire, 2014, ArXiv.

Polynomial Depth, Highness and Lowness for E pdf

Philippe Moser, 2016, ArXiv.

Finite-State Dimension and Lossy Decompressors pdf

Philippe Moser, David Doty, 2006, ArXiv.

Bounded Pushdown dimension vs Lempel Ziv information density pdf

Philippe Moser, Elvira Mayordomo, Pilar Albert, 2007, Electron. Colloquium Comput. Complex..

Risk-adjusted portfolio optimisation using a parallel multi-objective evolutionary algorithm

Philippe Moser, Phil Maguire, Donal O'Sullivan, 2012, 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

A zero one law for RP

Russell Impagliazzo, Philippe Moser, 2003, 18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings..

Depth, Highness and DNR degrees

Frank Stephan, Philippe Moser, F. Stephan, 2015, Discret. Math. Theor. Comput. Sci..

Martingale families and dimension in P

Philippe Moser, Philippe Moser, 2006, Theor. Comput. Sci..

A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy]

Mark T. Keane, Philippe Moser, Phil Maguire, 2013, CogSci.

P(APP) = P(prBPP)

Philippe Moser, 2002 .

residues of extracts from wine making and their use in cosmetics or pharmacology

Gilles Pauly, Philippe Moser, Florence Henry, 2000 .