Ordinal Regression by Extended Binary Classification.
L. Li and
H.-T. Lin.
In B. Schölkopf et al., eds.,
Advances in Neural Information Processing
Systems 19
(NIPS 2006),
pp. 865-872.
MIT Press, 2007.
Large-Margin Thresholded Ensembles for Ordinal Regression:
Theory and Practice.
H.-T. Lin
and L. Li.
In J. Balcázar et al., eds.,
Algorithmic Learning Theory:
ALT 2006,
vol. 4264
of Lecture Notes in Artificial Intelligence,
pp. 319-333. Springer-Verlag, 2006.
Multiclass Boosting with Repartitioning.
L. Li.
In W. W. Cohen and A. Moore, eds.,
ICML 2006:
Proceedings of the 23rd International Conference on Machine Learning,
pp. 569-576. ACM Press, 2006.
Improving Generalization by Data Categorization.
L. Li,
A. Pratap,
H.-T. Lin,
and Y. S.
Abu-Mostafa.
In A. Jorge et al., eds., Knowledge Discovery in Databases:
PKDD 2005,
vol. 3721
of Lecture Notes in Artificial Intelligence,
pp. 157-168. Springer-Verlag, 2005.
Infinite Ensemble Learning with Support Vector Machines.
H.-T. Lin
and L. Li.
In J. Gama et al., eds., Machine Learning:
ECML 2005,
vol. 3720
of Lecture Notes in Artificial Intelligence,
pp. 242-254. Springer-Verlag, 2005.
Emergent Specialization in Swarm Systems.
L. Li,
A.
Martinoli, and
Y. S.
Abu-Mostafa.
In H. Yin et al., eds.,
Intelligent Data Engineering and Automated Learning --
IDEAL 2002,
vol. 2412
of Lecture Notes in Computer Science,
pp. 261-266. Springer-Verlag, 2002.
The Distance Measure for Line Spectrum Pairs Applied to Speech
Recognition.
F.
Zheng, Z. Song,
L. Li,
W. Yu,
F. Zheng,
and W. Wu.
In Proceedings of the 5th International Conference on Spoken Language
Processing
(ICSLP'98),
3:1123-1126, Sydney, Australia, 1998.
Analysis of SAGE Results with Combined Learning Techniques.
H.-T. Lin
and L. Li.
In P. Berka and B. Crémilleux, eds., Proceedings of the
ECML/PKDD
2005 Discovery Challenge,
pp. 102-113, Porto, Portugal, 2005.
Data Complexity in Machine Learning.
L. Li and
Y. S.
Abu-Mostafa.
Computer Science Technical Report CaltechCSTR:2006.004,
California Institute of Technology, May 2006.
Perceptron Learning with Random Coordinate Descent.
L. Li.
Computer Science Technical Report CaltechCSTR:2005.006,
California Institute of Technology, Aug. 2005.
CGBoost: Conjugate Gradient in Function Space.
L. Li,
Y. S.
Abu-Mostafa, and
A. Pratap.
Computer Science Technical Report CaltechCSTR:2003.007,
California Institute of Technology, Aug. 2003.
Rejected by NIPS 2003.