Alexander J. Smola

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Alexander J. Smola is a person.

See: Support Vector Machine, SVMs.

References

2021

(Zhang et al., 2021) ⇒ Aston Zhang, Zachary C Lipton, Mu Li, and Alexander J Smola. (2021). “Dive Into Deep Learning - 13.2 Fine Funing.” In: arXiv preprint arXiv:2106.11342.

2017

(We et al., 2017) ⇒ Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, and How Jing. (2017). “Recurrent Recommender Networks.” In: Proceedings of WSDM 2017.

2016

(Yang et al., 2016) ⇒ Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola. (2016). “Stacked Attention Networks for Image Question Answering.” In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 21-29.

2015

(Flaxman et al., 2015) ⇒ Seth R. Flaxman, Yu-Xiang Wang, and Alexander J. Smola. (2015). “Who Supported Obama in 2012?: Ecological Inference through Distribution Regression.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783300

2014

(Li et al., 2014) ⇒ Mu Li, Tong Zhang, Yuqiang Chen, and Alexander J. Smola. (2014). “Efficient Mini-batch Training for Stochastic Optimization.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623612
(Diao et al., 2014) ⇒ Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, and Chong Wang. (2014). “Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS).” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623758

2012

(Smola, 2012) ⇒ Alex Smola. (2012). “Recommender Systems.” In: SML: Scalable Machine Learning - STATISTICS 241B, COMPUTER SCIENCE C281B

2011

(Ahmed et al., 2011) ⇒ Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, and Alexander J. Smola. (2011). “Scalable Distributed Inference of Dynamic User Interests for Behavioral Targeting.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). doi:10.1145/2020408.2020433

2010

(Song et al., 2010) ⇒ Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey Gordon, and Alex Smola. (2010). “Hilbert Space Embeddings of Hidden Markov Models.” In: Proceedings of the 27th International Conference on International Conference on Machine Learning. ISBN:978-1-60558-907-7

2009

(Weinberger et al., 2009) ⇒ Kilian Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, and Josh Attenberg. (2009). “Feature Hashing for Large Scale Multitask Learning.” In: Proceedings of the 26th Annual International Conference on Machine Learning. doi:10.1145/1553374.1553516

2007

(Chapelle et al., 2007) ⇒ Olivier Chapelle, Q. Le, and Alexander Smola. (2007). “Large Margin Optimization of Ranking Measures.” In: NIPS 2007 Workshop on Machine Learning for Web Search, 2007.

2006

(Gretton et al., 2006) ⇒ Arthur Gretton, Karsten Borgwardt, Malte J. Rasch, Bernhard Schölkopf, and Alexander J. Smola. (2006). “A Kernel Method for the Two-Sample Problem”. In: Advances in Neural Information Processing Systems, 19 (NIPS 2006).

2005

(Borgwardt et al., 2005) ⇒ Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S.V.N.Vishwanathan, Alex J. Smola, and Hans-Peter Kriegel. (2005). “Protein function prediction via graph kernels.” In: ISMB (Supplement of Bioinformatics), 21(Suppl 1). doi:10.1093/bioinformatics/bti1007

2002

(Vishwanathan & Smola, 2002) ⇒ S. V. N. Vishwanathan, and Alexander J. Smola. (2002). “Fast Kernels for String and Tree Matching.” In: Proceedings of NIPS-2002 (NIPS 2002).
(Gärtner et al., 2002) ⇒ Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, and Alex J. Smola. (2002). “Multi-Instance Kernels.” In: Proceedings of ICML 2002 (ICML 2002).

2001

(Schölkopf & Smola, 2001) ⇒ Bernhard Schölkopf, and Alexander J. Smola. (2002). “Learning With Kernels.” MIT Press. ISBN:0262194759

1999

(Schölkopf et al., 1999) ⇒ Bernhard Schölkopf, Christopher J. C. Burges, and Alexander J. Smola. (1999). “Advances in Kernel Methods - Support Vector Learning.” In: MIT Press. ISBN:0-262-19416-3

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