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Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston and Luke Zettlemoyer. 2013. Introduction to the special issue on learning semantics. Machine Learning, pp 1--5. Springer. [nlpcourse, semparse] url pdf google scholar
G. James, D. Witten, T. Hastie and R. Tibshirani. 2013. An Introduction to Statistical Learning: with Applications in R. Springer. [book.ml, ebook] pdf url url google scholar books
Deniz Yuret, Laura Rimell and Aydin Han. 2012. Parser Evaluation Using Textual Entailments. Language Resources and Evaluation, vol 47, no 3, pp 639--659, September. Springer. [ai.ku] pdf google scholar
Alex Graves, et al. 2012. Supervised sequence labelling with recurrent neural networks, vol 385. Springer pdf pdf pdf google scholar books
Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile. 2011. Learning noisy linear classifiers via adaptive and selective sampling. Machine learning, vol 83, no 1, pp 71--102. Springer. (SSMD,SS). [perceptron] pdf google scholar
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro and Andrew Cotter. 2011. Pegasos: Primal estimated sub-gradient solver for svm. Mathematical programming, vol 127, no 1, pp 3--30. Springer. (PEGASOS). [perceptron] pdf google scholar
A. Farhadi, M. Hejrati, M. Sadeghi, P. Young, C. Rashtchian, J. Hockenmaier and D. Forsyth. 2010. Every picture tells a story: generating sentences from images. Computer Vision--ECCV 2010, pp 15--29. Springer. [3D] pdf google scholar
L. Ruhlmann, B. Ozell, M. Gagnon, S. Bourgoin and E. Charton. 2010. Improving communication using 3D animation. Knowledge-Based and Intelligent Information and Engineering Systems, pp 410--419. Springer. [3D] pdf google scholar
I. Mani, C. Doran, D. Harris, J. Hitzeman, R. Quimby, J. Richer, B. Wellner, S. Mardis and S. Clancy. 2010. SpatialML: annotation scheme, resources, and evaluation. Language Resources and Evaluation, vol 44, no 3, pp 263--280. Springer. [3D] pdf google scholar
A. Ben-Hur and J. Weston. 2010. A User's Guide to Support Vector Machines. Methods in Molecular Biology, vol 609, pp 223--239. Springer. [SVM] pdf google scholar
B. Coyne, O. Rambow, J. Hirschberg and R. Sproat. 2010. Frame semantics in text-to-scene generation. Knowledge-Based and Intelligent Information and Engineering Systems, pp 375--384. Springer. [3D] pdf google scholar
M. Elad. 2010. Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing. Springer. [book.ml, perceptron, ebook] url pdf google scholar books
E. Hanser, P. Kevitt, T. Lunney, J. Condell and M. Ma. 2010. SceneMaker: multimodal visualisation of natural language film scripts. Knowledge-Based and Intelligent Information and Engineering Systems, pp 430--439. Springer. [3D] pdf google scholar
Roxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter Turney and Deniz Yuret. 2009. Classification of Semantic Relations between Nominals. Language Resources and Evaluation, vol 43, no 2, pp 105--121, June. Springer. [ai.ku] pdf url google scholar
Trevor Hastie, Robert Tibshirani and Jerome Friedman. 2009. The Elements of Statistical Learning. Springer. [book.ml, ebook] pdf url pdf google scholar books
Haşim Sak, Tunga Güngör and Murat Saraçlar. 2008. Turkish language resources: Morphological parser, morphological disambiguator and web corpus. In Advances in natural language processing, pp 417--427. Springer url pdf google scholar
Giovanni Cavallanti, Nicolò Cesa-Bianchi and Claudio Gentile. 2007. Tracking the best hyperplane with a simple budget perceptron. Machine Learning, vol 69, no 2-3, pp 143--167. Springer. (RBP). [perceptron] pdf annote google scholar
Shai Shalev-Shwartz and Yoram Singer. 2007. A primal-dual perspective of online learning algorithms. Machine Learning, vol 69, no 2-3, pp 115--142. Springer. [perceptron] pdf google scholar
Larry Wasserman. 2006. All of Nonparametric Statistics. Springer. [book.ml] google scholar books
J. Nocedal and S. Wright. 2006. Numerical Optimization. Springer. [book.ml, ebook] url pdf pdf google scholar books
Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning. Springer. [book.ml, ebook] pdf pdf url google scholar books
A. Amit and S. Markovitch. 2006. Learning to bid in bridge. Machine Learning, vol 63, no 3, pp 287--327. Springer. [bridge] pdf google scholar
K. Kurihara and T. Sato. 2006. Variational Bayesian grammar induction for natural language. Grammatical Inference: Algorithms and Applications, pp 84--96. Springer. [uparse] google scholar
P.M. Nugues. 2006. An introduction to language processing with Perl and Prolog: an outline of theories, implementation, and application with special consideration of English, French, and German. Springer. [book.language] url google scholar books
Antoine Bordes and Léon Bottou. 2005. The Huller: a simple and efficient online SVM. In Machine Learning: ECML 2005, pp 505--512. Springer. cit 55. [perceptron] google scholar
Peter D Turney and Michael L Littman. 2005. Corpus-based learning of analogies and semantic relations. Machine Learning, vol 60, no 1-3, pp 251--278. Springer. [vivi] pdf google scholar
Martin Aigner and Günter M. Ziegler. 2003. Proofs from the Book. Springer. [book.math] google scholar books
Larry Wasserman. 2003. All of Statistics. Springer. [book.ml] google scholar books
Yi Li and Philip M Long. 2002. The relaxed online maximum margin algorithm. Machine Learning, vol 46, no 1-3, pp 361--387. Springer. (ROMMA). cit 157. [perceptron] google scholar
Gabor Lugosi. 2002. Pattern Classification and Learning Theory. In Principles of Nonparametric Learning. Springer pdf google scholar
W. N. Venables and B. D. Ripley. 2002. Modern Applied Statistics with S. Springer. [book.ml] google scholar books
Pascal Vincent and Yoshua Bengio. 2002. Kernel matching pursuit. Machine Learning, vol 48, no 1-3, pp 165--187. Springer. cit 222. [perceptron] google scholar
Gregory J. Chaitin. 2001. Conversations with a Mathematician. Springer. [book.mathtext] google scholar books
Gregory J. Chaitin. 2001. Exploring Randomness. Springer. [book.mathtext] google scholar books
Dirk Bouwmeester, Artur Ekert and Anton Zeilinger, editors. 2000. The Physics of Quantum Information. Springer. [book.scitext] google scholar books
Vladimir N. Vapnik. 1999. The Nature of Statistical Learning Theory. Springer. [book.ml] google scholar books
Gregory J. Chaitin. 1999. The Unknowable. Springer. [book.mathtext] google scholar books
Yoav Freund and Robert E Schapire. 1999. Large margin classification using the perceptron algorithm. Machine learning, vol 37, no 3, pp 277--296. Springer. cit 868. [perceptron] pdf annote google scholar
Roland Hausser. 1999. Foundations of computational linguistics. Springer. [book.language] google scholar books
EL Lehmann and George Casella. 1998. Theory of point estimation. Springer. [book.mathtext] google scholar books
Pedro Domingos and Michael Pazzani. 1997. On the optimality of the simple Bayesian classifier under zero-one loss. Machine learning, vol 29, no 2-3, pp 103--130. Springer. [nlpcourse] pdf google scholar
S. Axler. 1997. Linear Algebra Done Right. Springer. [book.mathtext, ebook] url pdf pdf google scholar books
EL Lehmann. 1997. Testing statistical hypotheses. Springer. [book.mathtext] google scholar books
Gregory J. Chaitin. 1997. The limits of mathematics. Springer. [book.mathtext] google scholar books
Gustavo Deco and Dragan Obradovic. 1996. An information-theoretic approach to neural computing. Springer. [book.brain] google scholar books
N. Okada. 1996. Integrating vision, motion and language through mind. Artificial intelligence review, vol 10, no 3, pp 209--234. Springer. (Aesopworld). [3D] google scholar
Teuvo Kohonen. 1995. Self organizing maps. Springer. read. [book.ml] google scholar books
Michael de la Maza and Deniz Yuret. 1995. A model of stock market participants. In Evolutionary Algorithms in Management Applications. Springer. [ai.ku] url ps google scholar
B. Muller, J. Reinhardt and M.T. Strickland. 1995. Neural networks: an introduction. Springer. [book.ml] google scholar books
A. Narayanan, D. Manuel, L. Ford, D. Tallis and M. Yazdani. 1995. Language visualisation: applications and theoretical foundations of a primitive-based approach. Artificial intelligence review, vol 9, no 2, pp 215--235. Springer. [3D] google scholar
Jeffrey Mark Siskind. 1994. Grounding language in perception. Artificial Intelligence Review, vol 8, no 5, pp 371--391. Springer. (Abigail system). [3D, semparse] pdf google scholar
Richard K. Guy. 1994. Unsolved problems in number theory. Springer. [book.mathtext] google scholar books
S.O. Nuallain and A.G. Smith. 1994. An investigation into the common semantics of language and vision. Artificial intelligence review, vol 8, no 2, pp 113--122. Springer. [3D] google scholar
Zbigniew Michalewicz. 1992. Genetic Algorithms + Data Structures = Evolution Programs. Springer. [book.ai] google scholar books
Ioannis Karatzas and Steven E. Shreve. 1991. Brownian motion and stochastic calculus. Springer. [book.mathtext] google scholar books
David Levy, editor. 1988. Computer Chess Compendium. Springer. [book.ai] google scholar books
David N. L. Levy, editor. 1988. Computer Games Vol 1. Springer. [book.ai] google scholar books
James O. Berger. 1985. Statistical Decision Theory and Bayesian Analysis. Springer. [book.ml] google scholar books
Karl R. Popper and Sir John C. Eccles. 1977. The self and its brain. Springer. [book.brain] google scholar books

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