DOI: 10.1007/s10994-013-5335-x. From machine learning to machine reasoning

From machine learning to machine reasoning

10.1007/s10994-013-5335-x

Crossref journal-article

Springer Science and Business Media LLC

Machine Learning (297)

Bibliography

Bottou, L. (2013). From machine learning to machine reasoning. Machine Learning, 94(2), 133â149.

Authors 1

Léon Bottou (first)

References 55 Referenced 138

Ahmed, A., Yu, K., Xu, W., Gong, Y., & Xing, E. P. (2008). Training hierarchical feed-forward visual recognition models using transfer learning from pseudo tasks. In Proc. 10th European conference on computer vision (ECCV). / Proc. 10th European conference on computer vision (ECCV) by A. Ahmed (2008)
Aiello, M., Pratt-Hartmann, I., & van Benthem, J. (Eds.) (2007). Handbook of spatial logics. Berlin: Springer. / Handbook of spatial logics (2007)
Bakır, G. H., Hofmann, T., Schölkopf, B., Smola, A. J., Taskar, B., & Vishwanathan, S. V. N. (Eds.) (2007). Predicting structured data. Cambridge: MIT Press. / Predicting structured data (2007)
Bengio, Y., Lamblin, P., Popovici, D., & Larochelle, H. (2007). Greedy layer-wise training of deep networks. In Advances in neural information processing systems (Vol. 19, pp. 153–160). Cambridge: MIT Press. / Advances in neural information processing systems by Y. Bengio (2007)
Bordes, A., Weston, J., Collobert, R., & Bengio, Y. (2011). Learning structured embeddings of knowledge bases. In Proc. 25th conference on artificial intelligence (AAAI). / Proc. 25th conference on artificial intelligence (AAAI) by A. Bordes (2011)
Bottou, L. (2008). Artificial intelligence in seven years? Seminar presentation, University of Montreal, June 2008. http://www.iro.umontreal.ca/~lisa/seminaires/26-06-2008.html .
Bottou, L. (2011). From machine learning to machine reasoning, February 2011. arXiv:1102.1808v3 .
Bottou, L., & Gallinari, P. (1991). A framework for the cooperation of learning algorithms. In Advances in neural information processing systems (Vol. 3). San Mateo: Morgan Kaufmann. / Advances in neural information processing systems by L. Bottou (1991)
Bottou, L., LeCun, Y., & Bengio, Y. (1997). Global training of document processing systems using graph transformer networks. In Proc. of computer vision and pattern recognition (pp. 489–493). New York: IEEE Press. / Proc. of computer vision and pattern recognition by L. Bottou (1997)
Buntine, W. (1994). Operations for learning with graphical models. The Journal of Artificial Intelligence Research, 2, 159–225. (10.1613/jair.62) / The Journal of Artificial Intelligence Research by W. Buntine (1994)
Caruana, R. (1997). Multitask learning. Machine Learning, 28, 41–75. (10.1023/A:1007379606734) / Machine Learning by R. Caruana (1997)
Collobert, R. (2011). Deep learning for efficient discriminative parsing. In Proc. artificial intelligence and statistics (AISTAT). / Proc. artificial intelligence and statistics (AISTAT) by R. Collobert (2011)
Collobert, R., & Weston, J. (2007). Fast semantic extraction using a novel neural network architecture. In Proc. 45th annual meeting of the association of computational linguistics (ACL) (pp. 560–567). / Proc. 45th annual meeting of the association of computational linguistics (ACL) by R. Collobert (2007)
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., & Kuksa, P. (2011). Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12, 2493–2537. / Journal of Machine Learning Research by R. Collobert (2011)
Wiesel, T. N., & Hubel, D. H. (1962). Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. Journal of Physiology, 160, 106–154. (10.1113/jphysiol.1962.sp006837) / Journal of Physiology by T. N. Wiesel (1962)
Etter, V. (2009). Semantic vector machines. Master’s thesis, EPFL.
Friedman, N., Getoor, L., Koller, D., & Pfeffer, A. (1999). Learning probabilistic relational models. In Proc. sixteenth international joint conference on artificial intelligence (pp. 1300–1307). / Proc. sixteenth international joint conference on artificial intelligence by N. Friedman (1999)
Grangier, D., Bottou, L., & Collobert, R. (2009). Deep convolutional networks for scene parsing. ICML 2009 Deep Learning Workshop. http://david.grangier.info/scene_parsing .
Harris, Z. S. (1968). Mathematical structures of language. New York: Wiley. / Mathematical structures of language by Z. S. Harris (1968)
Hilbert, D., & Ackermann, W. (1928). Grundzüge der theoretischen Logik. Berlin: Springer. / Grundzüge der theoretischen Logik by D. Hilbert (1928)
Hinton, G. E. (1990). Mapping part-whole hierarchies into connectionist networks. Artificial Intelligence, 46, 47–75. (10.1016/0004-3702(90)90004-J) / Artificial Intelligence by G. E. Hinton (1990)
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006). A fast learning algorithm for deep belief nets. Neural Computation, 18, 1527–1554. (10.1162/neco.2006.18.7.1527) / Neural Computation by G. E. Hinton (2006)
Hoiem, D., Stein, A., Efros, A. A., & Hebert, M. (2007). Recovering occlusion boundaries from a single image. In Proc. international conference on computer vision (CVPR). / Proc. international conference on computer vision (CVPR) by D. Hoiem (2007)
Khardon, R., & Roth, D. (1997). Learning to reason. Journal of the ACM, 44(5), 697–725. (10.1145/265910.265918) / Journal of the ACM by R. Khardon (1997)
LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278–2324. (10.1109/5.726791) / Proceedings of the IEEE by Y. LeCun (1998)
LeCun, Y., Bottou, L., & HuangFu, J. (2004). Learning methods for generic object recognition with invariance to pose and lighting. In Proc. computer vision and pattern recognition. / Proc. computer vision and pattern recognition by Y. LeCun (2004)
Lighthill, J. (1973). Artificial intelligence: a general survey. In Artificial intelligence: a paper symposium. Science Research Council. / Artificial intelligence: a paper symposium by J. Lighthill (1973)
Lonardi, S., Sperduti, A., & Starita, A. (1994). Encoding pyramids by labeling RAAM. In Proc. neural networks for signal processing. / Proc. neural networks for signal processing by S. Lonardi (1994)
Mairal, J., Bach, F., Ponce, J., & Sapiro, G. (2010). Online learning for matrix factorization and sparse coding. Journal of Machine Learning Research, 11, 10–60. / Journal of Machine Learning Research by J. Mairal (2010)
Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 343–355. (10.1037/h0043158) / Psychological Review by G. A. Miller (1956)
Miller, M. (2006). Personal communication.
Minsky, M., & Papert, S. (1969). Perceptrons. Cambridge: MIT Press. / Perceptrons by M. Minsky (1969)
Neville, J., & Jensen, D. (2003). Collective classification with relational dependency networks. In Proc. second international workshop on multi-relational data mining (pp. 77–91). / Proc. second international workshop on multi-relational data mining by J. Neville (2003)
NIPS (1987–2010). Advances in neural processing information systems. Volumes 0 to 22.
Paccanaro, A., & Hinton, G. E. (2001). Learning hierarchical structures with linear relational embedding. In Advances in neural information processing systems (Vol. 14). Cambridge: MIT Press. / Advances in neural information processing systems by A. Paccanaro (2001)
Pearl, J. (1988). Probabilistic reasoning in intelligent systems. San Mateo: Morgan Kaufmann. / Probabilistic reasoning in intelligent systems by J. Pearl (1988)
Pearl, J. (2000). Causality: models, reasoning, and inference. Cambridge: Cambridge University Press. / Causality: models, reasoning, and inference by J. Pearl (2000)
Piaget, J. (1937). La construction du réel chez l’enfant. Neuchatel: Delachaux et Niestlé. / La construction du réel chez l’enfant by J. Piaget (1937)
Plate, T. (1994). Distributed Representations and Nested Compositional Structure. PhD thesis, Department of Computer Science, University of Toronto.
Pollack, J. B. (1990). Recursive distributed representations. Artificial Intelligence, 46, 77–105. (10.1016/0004-3702(90)90005-K) / Artificial Intelligence by J. B. Pollack (1990)
Popper, K. (1959). The logic of scientific discovery. Stroudsburg: Dowden, Hutchinson and Ross. / The logic of scientific discovery by K. Popper (1959)
Richardson, M., & Domingos, P. (2006). Markov logic networks. Journal of Machine Learning Research, 62, 107–136. (10.1007/s10994-006-5833-1) / Journal of Machine Learning Research by M. Richardson (2006)
Riesenhuber, M., & Poggio, T. (2003). How visual cortex recognizes objects: the tale of the standard model. The Visual Neurosciences, 2, 1640–1653. (10.7551/mitpress/7131.003.0126) / The Visual Neurosciences by M. Riesenhuber (2003)
Robinson, J. A. (1965). A machine-oriented logic based on the resolution principle. Communications of the ACM, 5, 23–41. / Communications of the ACM by J. A. Robinson (1965)
Roth, D. (1996). On the hardness of approximate reasoning. Artificial Intelligence, 82, 273–302. (10.1016/0004-3702(94)00092-1) / Artificial Intelligence by D. Roth (1996)
Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2008). Labelme: a database and web-based tool for image annotation. International Journal of Computer Vision, 77(1–3), 157–173. (10.1007/s11263-007-0090-8) / International Journal of Computer Vision by B. C. Russell (2008)
Smolensky, P. (1990). Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial Intelligence, 46, 159–216. (10.1016/0004-3702(90)90007-M) / Artificial Intelligence by P. Smolensky (1990)
Socher, R., Ng, A., & Manning, C. (2010). Learning continuous phrase representations and syntactic parsing with recursive neural networks. NIPS Deep Learning workshop presentation, November 2010. http://deeplearningworkshopnips2010.wordpress.com/schedule/oral1 .
Socher, R., Lin, C., Ng, A. Y., & Manning, C. D. (2011). Parsing natural scenes and natural language with recursive neural networks. In Proc. 28th international conference on machine learning (ICML). / Proc. 28th international conference on machine learning (ICML) by R. Socher (2011)
Sperduti, A. (1994). In advances in neural information processing systems: Vol. 5. Encoding labeled graphs by labeling RAAM. San Mateo: Morgan Kaufmann. / Encoding labeled graphs by labeling RAAM / In advances in neural information processing systems by A. Sperduti (1994)
Ponce, J., Lazebnik, S., & Schmid, C. (2006). Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In Proc. computer vision and pattern recognition (Vol. II, pp. 2169–2178). / Proc. computer vision and pattern recognition by J. Ponce (2006)
Vapnik, V. N. (1995). The nature of statistical learning theory. Berlin: Springer. (10.1007/978-1-4757-2440-0) / The nature of statistical learning theory by V. N. Vapnik (1995)
von Ahn, L. (2006). Games with a purpose. IEEE Computer, 39(6), 92–94 (10.1109/MC.2006.196) / IEEE Computer by L. Ahn von (2006)
Welling, M. (2009). Herding dynamic weights to learn. In Proc. 26th international conference on machine learning (pp. 1121–1128). (10.1145/1553374.1553517) / Proc. 26th international conference on machine learning by M. Welling (2009)
Weston, J., Ratle, F., & Collobert, R. (2008). Deep learning via semi-supervised embedding. In Proc. 25th international conference on machine learning (pp. 1168–1175). (10.1145/1390156.1390303) / Proc. 25th international conference on machine learning by J. Weston (2008)

Dates

Type	When
Created	12 years, 4 months ago (April 9, 2013, 2:25 p.m.)
Deposited	2 years, 1 month ago (June 30, 2023, 6:31 p.m.)
Indexed	3 weeks, 1 day ago (Aug. 3, 2025, midnight)
Issued	12 years, 4 months ago (April 10, 2013)
Published	12 years, 4 months ago (April 10, 2013)
Published Online	12 years, 4 months ago (April 10, 2013)
Published Print	11 years, 6 months ago (Feb. 1, 2014)

Funders 0

None

BibTeX

@article{Bottou_2013, title={From machine learning to machine reasoning: An essay}, volume={94}, ISSN={1573-0565}, url={http://dx.doi.org/10.1007/s10994-013-5335-x}, DOI={10.1007/s10994-013-5335-x}, number={2}, journal={Machine Learning}, publisher={Springer Science and Business Media LLC}, author={Bottou, Léon}, year={2013}, month=apr, pages={133–149} }

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      "key": "5335_CR33",
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      "volume-title": "Proc. second international workshop on multi-relational data mining",
      "author": "J. Neville",
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    {
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      "volume-title": "Advances in neural information processing systems",
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      "volume-title": "Probabilistic reasoning in intelligent systems",
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      "volume-title": "La construction du r\u00e9el chez l\u2019enfant",
      "author": "J. Piaget",
      "year": "1937",
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    },
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      "key": "5335_CR39",
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    {
      "key": "5335_CR40",
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      "first-page": "77",
      "DOI": "10.1016/0004-3702(90)90005-K",
      "volume": "46",
      "author": "J. B. Pollack",
      "year": "1990",
      "unstructured": "Pollack, J. B. (1990). Recursive distributed representations. Artificial Intelligence, 46, 77\u2013105.",
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      "key": "5335_CR41",
      "volume-title": "The logic of scientific discovery",
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      "first-page": "107",
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      "year": "2003",
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      "key": "5335_CR44",
      "first-page": "23",
      "volume": "5",
      "author": "J. A. Robinson",
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      "journal-title": "Communications of the ACM"
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      "author": "D. Roth",
      "year": "1996",
      "unstructured": "Roth, D. (1996). On the hardness of approximate reasoning. Artificial Intelligence, 82, 273\u2013302.",
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    },
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      "issue": "1\u20133",
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      "year": "2008",
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      "author": "P. Smolensky",
      "year": "1990",
      "unstructured": "Smolensky, P. (1990). Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial Intelligence, 46, 159\u2013216.",
      "journal-title": "Artificial Intelligence"
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      "key": "5335_CR49",
      "volume-title": "Proc. 28th international conference on machine learning (ICML)",
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      "series-title": "In advances in neural information processing systems",
      "volume-title": "Encoding labeled graphs by labeling RAAM",
      "author": "A. Sperduti",
      "year": "1994",
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    {
      "key": "5335_CR51",
      "first-page": "2169",
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      "author": "J. Ponce",
      "year": "2006",
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      "author": "V. N. Vapnik",
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