Active Bibliography

377 Large margin methods for structured and interdependent output variables – Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun - 2005
5 An introduction to structured discriminative learning – Roland Memisevic - 2006
3 Discriminative Methods for Label Sequence Learning – Yasemin Altun - 2005
Improved Learning of . . . : TRAINING WITH LATENT VARIABLES AND NONLINEAR KERNELS – Chun Nam Yu - 2011
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
1 Magic Moments for Structured Output Prediction – Elisa Ricci, Tijl De Bie, Nello Cristianini, Michael Collins
35 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
SUPERVISED CLUSTERING WITH STRUCTURAL SVMs – Thomas W. Finley - 2009
1 Introduction to Syntactic Parsing – Roxana Girju - 2004
16 Filtering-ranking perceptron learning for partial parsing – Xavier Carreras, Lluís Màrquez, Jorge Castro - 2004
19 Semi-supervised learning for natural language – Percy Liang - 2005
Learning to Map Sentences to Logical Form – Luke S. Zettlemoyer, Michael Collins - 2009
A Note on Structural Extensions of SVMs – Mark Schmidt - 2009
34 Gaussian Process Classification for Segmenting and Annotating Sequences – Yasemin Altun, Thomas Hofmann, Alexander J. Smola - 2004
439 Max-margin Markov networks – Ben Taskar, Carlos Guestrin, Daphne Koller - 2003
Principal Advisor – Chuong B. Do - 2009
4 Discriminative learning of max-sum classifiers – Bogdan Savchynskyy
A maximum margin discriminative learning algorithm for temporal signals – Wenjie Xu, Jiankang Wu, Zhiyong Huang
KERNEL BASED HIDDEN MARKOV MODEL WITH APPLICATIONS TO EEG SIGNAL CLASSIFICATION – Wenjie Xu, Jiankang Wu