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News and Trading Rules (2003) [1 citations — 0 self]

Abstract:

AI has long been applied to the problem of predicting financial markets.

Citations

5180 Genetic Algorithms – Goldberg - 1989
3356 C4.5: Programs for Machine Learning – Quinlan - 1993
2526 Induction of decision trees – Quinlan - 1986
1921 Genetic Programming I : On the Programming of Computers by Means of Natural Selection – Koza - 1992
1636 Indexing by latent semantic analysis – Deerwester, Dumais, et al. - 1990
1565 Bagging predictors – Breiman - 1996
1213 An Introduction to the Bootstrap – Efron, Tibshirani - 1993
1205 Schapire, “Decision-theoretic generalization of on-line learning and application to boosting – Freund, E - 1997
1102 An Algorithm for Suffix Stripping – Porter - 1980
1053 Text Categorization with Support Vector Machines: Learning with Many Relevant Features – Joachims - 1998
1045 Experiments with a new boosting algorithm – Freund, Schapire - 1996
915 Term-weighting approaches in automatic text retrieval – Salton, Buckley - 1988
565 A comparative study on feature selection in text categorization – Yang, Pedersen - 1997
481 Evolutionsstrategie—Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Fommann-Holzboog – Rechenberg - 1973
460 CYC: A Large-Scale Investment in Knowledge Infrastructure – Lenat - 1995
452 Evolutionary Computation: Toward a New Philosophy of Machine Intelligence – Fogel - 1995
354 Optimal brain damage – LeCun, Denker, et al. - 1990
346 An evaluation of statistical approaches to text categorization – Yang - 1999
300 An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization – Dietterich
255 Representation of events in nerve nets and finite automata, Automata Studies – Kleene - 1956
243 Ensemble methods in machine learning – Dietterich - 2000
213 A comparison of two learning algorithms for text categorization – Lewis, Ringuette - 1994
174 Efficient capital markets: a review of theory and empirical work – Fama - 1970
161 Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie – Schwefel - 1977
157 Using maximum entropy for text classification – Nigam, Lafferty, et al. - 1999
154 Dynamic Asset Pricing Theory – Duffie - 1996
134 An algorithm for suffix stripping. Program – Porter - 1980
127 Expert network: Effective and efficient learning from human decisions in text categorization and retrieval – Yang - 1994
119 Adaptive Fraud Detection – Fawcett, Provost - 1997
100 Information extraction as a basis for highprecision text classification – Riloff, Lehnert - 1994
90 Simple Technical Trading Rules and the Stochastic Properties of Stock Returns – Brock, Lakonishok, et al. - 1992
86 On the impossibility of informationally efficient markets – Grossman, Stiglitz - 1980
79 Activity monitoring: Noticing interesting changes in behavior – Fawcett - 1999
78 A Survey of Information Retrieval and Filtering Methods – Faloutsos, Oard - 1995
72 Using genetic algorithms to find technical trading rules – Allen, Karjalainen - 1999
68 Genetic algorithms, selection schemes, and the varying effects of noise – Miller, Goldberg - 1996
61 Emergence of cooperation and organization in an evolutionary game – Challet, Zhang - 1997
55 Genetic algorithms and the optimal allocation of trials – Holland - 1973
54 Efficient capital markets: II – Fama - 1991
54 Technical analysis in the foreign exchange market: A Layman’s guide. Federal Reserve Bank of St. Louis – Neely - 1997
48 Bootstrapping with noise: An effective regularization technique – Raviv, Intrator - 1996
46 A comparison of selection schemes used in evolutionary algorithms – Blickle, Thiele - 1996
46 Simultaneous Statistical Inference – Miller - 1991
38 Adaptive Fraud Detection. Data Mining and Knowledge Discovery 1(3 – Fawcett, Provost - 1997
35 Proof that properly anticipated prices fluctuate randomly – Samuelson - 1965
34 Relevance assessments and retrieval system evaluation – Lesk, Salton - 1966
27 Mastering Regular Expressions. O’Reilly & Associates – Friedl - 1997
27 Using genetic algorithms with small populations – Reeves - 1993
27 The strength of weak learnability – Shapire - 1990
26 Data-snooping, technical trading rule performance, and the bootstrap – Sullivan, Timmerman, et al. - 1999