davidr's library 410 articles Export

	Multiview point cloud kernels for semisupervised learning [Lecture Notes] [My Copy] Signal Processing Magazine, IEEE, Vol. 26, No. 5. (04 September 2009), pp. 145-150. by D. Rosenberg, V. Sindhwani, P. Bartlett, P. Niyogi posted to semi-supervised multiview graph-regularization by davidr on 2009-10-30 16:33:39 as
	Wrappers for feature subset selection [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 273-324. by R. Kohavi posted to feature-selection by davidr on 2009-10-05 21:08:03 as along with 7 people and 1 group stharward h-chi chad_davis ccpin sdvillal gabriprat amargoli PTT
	A Penalized Multinomial Approach to Smoothed Estimation of Disease Incidence [My Copy] Biometrical Journal, Vol. 42, No. 4. (2000), pp. 395-415. by Robert G. Downer, David C. Hamilton posted to multinomial by davidr on 2009-09-10 18:51:41 as along with 1 person sense
	Complexity of pattern classes and the Lipschitz property [My Copy] Theoretical Computer Science, Vol. 382, No. 3. (06 September 2007), pp. 232-246. by A. Ambroladze, E. Parradohernandez, J. Shawetaylor posted to no-tag by davidr on 2009-08-30 05:32:10 as
	Pairwise constraint propagation by semidefinite programming for semi-supervised classification [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 576-583. by Zhenguo Li, Jianzhuang Liu, Xiaoou Tang posted to kernels semisupervised by davidr on 2009-08-07 18:08:19 as along with 1 person dittaya
	Bivariate Distributions with Conditionals in Prescribed Exponential Families [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 53, No. 2. (1991), pp. 365-375. by B. C. Arnold, D. J. Strauss posted to conditional-models distribution-theory by davidr on 2009-07-31 16:13:03 as along with 1 person pcarbo
	Kernel-based multifactor analysis for image synthesis and recognition [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on In Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 114-119 Vol. 1. by Yang Li, Yangzhou Du, Xueyin Lin posted to multifactor-pca pca by davidr on 2009-07-23 01:28:22 as
	Improved Heterogeneous Distance Functions [My Copy] Journal of Artificial Intelligence Research, Vol. 6 (1997), pp. 1-34. by Randall D. Wilson, Tony R. Martinez posted to metrics by davidr on 2009-07-23 00:14:44 as along with 2 people tullachBui Repton
	Commutativity in Finite Matrices [My Copy] The American Mathematical Monthly, Vol. 64, No. 4. (1957), pp. 229-235. by Olga Taussky posted to matrix by davidr on 2009-07-08 19:24:17 as
	Interval Estimation for a Binomial Proportion [My Copy] Statistical Science, Vol. 16, No. 2. (2001), pp. 101-117. by Lawrence D. Brown, Tony T. Cai, Anirban Dasgupta posted to binomial-proportion confidence-interval by davidr on 2009-06-04 21:51:55 as along with 1 person gtaralds
	Accurate confidence intervals for binomial proportion and Poisson rate estimation [My Copy] Computers in Biology and Medicine, Vol. 33, No. 6. (November 2003), pp. 509-531. by T. D. Ross posted to binomial-proportion confidence-interval by davidr on 2009-06-04 19:19:38 as
	THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL [My Copy] Biometrika, Vol. 26, No. 4. (1934), pp. 404-413. by C. J. Clopper, E. S. Pearson posted to confidence-interval fisher-exact by davidr on 2009-06-01 18:39:31 as along with 1 person chupa
	Introduction to Statistical Learning Theory [My Copy] Advanced Lectures on Machine Learning In Advanced Lectures on Machine Learning (2004), pp. 169-207. by Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi posted to statistical-learning-theory by davidr on 2009-05-29 08:56:13 as along with 4 people pigfly makni chihchun_chen mapio
	Capacity of reproducing kernel spaces in learning theory [My Copy] IEEE Trans. Inform. Theory, Vol. 49, No. 7. (2003), pp. 1743-1752. by Ding-Xuan Zhou posted to rkhs by davidr on 2009-05-23 18:57:50 as along with 1 person mukundn
	Uniform and universal Glivenko-Cantelli classes [My Copy] Journal of Theoretical Probability, Vol. 4, No. 3. (1 July 1991), pp. 485-510. by R. M. Dudley, E. Giné, J. Zinn posted to glivenko-cantelli uniform-convergence by davidr on 2009-05-23 18:55:24 as
	The Frequency Distribution of the Product-Moment Correlation Coefficient in Random Samples of Any Size Drawn from Non-Normal Universes [My Copy] Biometrika, Vol. 38, No. 1/2. (1951), pp. 219-247. by A. K. Gayen posted to correlation product-moment by davidr on 2009-04-16 14:08:10 as
	Combining graph Laplacians for semi-supervised learning [My Copy] In Advances in Neural Information Processing Systems 18 (2005), pp. 67-74. by Andreas Argyriou, Mark Herbster, Massimiliano Pontil posted to laplacian by davidr on 2009-03-22 22:02:43 as along with 2 people ajbattle noandrews
	Semi-supervised learning with multiple views [My Copy] (2008) by David S. Rosenberg posted to multiview semisupervised by davidr on 2009-03-22 21:20:23 as
	Variational Learning for Switching State-Space Models [My Copy] Neural Computation, Vol. 12, No. 4. (2000), pp. 831-864. by Zoubin Ghahramani, Geoffrey E. Hinton posted to state-space variational by davidr on 2009-01-06 21:59:52 as along with 3 people markusd zheaton paulclinger
	On the Influence of the Kernel on the Consistency of Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 2 (November 2001), pp. 67-93. by Ingo Steinwart posted to universal-kernel by davidr on 2008-12-01 03:01:40 as
	Universal Kernels [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 2651-2667. by Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang posted to rkhs universal-kernel by davidr on 2008-12-01 02:58:54 as along with 1 person memming
	On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning [My Copy] Journal of Machine Learning Research, Vol. 8 (July 2007), pp. 1489-1517. by Rie Johnson, Tong Zhang posted to semisupervised by davidr on 2008-12-01 02:28:03 as along with 1 group Graph based learning
	Semi-Supervised Regression with Co-Training [My Copy] In IJCAI (2005), pp. 908-916. by Zhi H. Zhou, Ming Li edited by Leslie P. Kaelbling, Alessandro Saffiotti, Leslie P. Kaelbling, Alessandro Saffiotti posted to cotraining by davidr on 2008-11-29 19:44:23 as
	Kernel Co-Training: An Algorithm for Semi-supervised Learning [My Copy] (20 January 2006) by David S. Rosenberg posted to cotraining by davidr on 2008-11-29 17:12:23 as
	Co-Training and Expansion: Towards Bridging Theory and Practice [My Copy] In Advances in Neural Information Processing Systems 17 (2005), pp. 89-96. by Maria F. Balcan, Avrim Blum, Ke Yang edited by Lawrence K. Saul, Yair Weiss, Léon Bottou posted to cotraining by davidr on 2008-11-29 16:49:48 as
	An Information Theoretic Framework for Multi-view Learning [My Copy] In COLT (2008), pp. 403-414. by Karthik Sridharan, Sham M. Kakade edited by Rocco A. Servedio, Tong Zhang, Rocco A. Servedio, Tong Zhang posted to multi-view by davidr on 2008-11-28 19:50:04 as
	Multi-view Regression Via Canonical Correlation Analysis [My Copy] Learning Theory (2007), pp. 82-96. by Sham Kakade, Dean Foster posted to cca multiview by davidr on 2008-11-27 14:41:42 as along with 1 person pprett
	Bayesian Co-Training [My Copy] In Advances in Neural Information Processing Systems 20 (2008), pp. 1665-1672. by Shipeng Yu, Balaji Krishnapuram, Romer Rosales, Harald Steck, Bharat R. Rao edited by J. C. Platt, D. Koller, Y. Singer, S. Roweis posted to bayesian cotraining multi-view by davidr on 2008-11-27 14:12:01 as along with 1 person markusd
	A Generalized Representer Theorem [My Copy] Computational Learning Theory (2001), pp. 416-426. by Bernhard Schölkopf, Ralf Herbrich, Alex Smola posted to rkhs-theory by davidr on 2008-11-25 21:55:48 as
	Semi-Supervised Learning Literature Survey [My Copy] No. 1530. (2005) by Xiaojin Zhu posted to semi-supervised by davidr on 2008-11-25 21:04:07 as
	On Manifold Regularization [My Copy] In {AISTAT} (2005) by M. Belkin, P. Niyogi, V. Sindhwani posted to manifold-regularization by davidr on 2008-11-25 20:54:37 as
	Learning with local and global consistency [My Copy] In Advances in Neural Information Processing Systems 16 (2004) by Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schölkopf posted to graph-regularization by davidr on 2008-11-25 20:05:12 as
	Regularization and Semi-supervised Learning on Large Graphs [My Copy] In COLT, Vol. 3120 (2004), pp. 624-638. by Mikhail Belkin, Irina Matveeva, Partha Niyogi edited by John S. Taylor, Yoram Singer posted to graph-regularization transductive-learning by davidr on 2008-11-25 19:53:10 as along with 1 person markusd
	Transductive Learning via Spectral Graph Partitioning [My Copy] In International Conference on Machine Learning (ICML) (2003), pp. 290-297. by T. Joachims posted to graph-regularization transductive-learning by davidr on 2008-11-25 19:47:57 as
	Learning Multiple Related Tasks using Latent Independent Component Analysis [My Copy] by Jian Zhangý, Zoubin Ghahramaniýþ, Yiming Yangý posted to ica multitask transfer-learning by davidr on 2008-09-28 21:05:45 as
	Representer Theorem and Kernel Examples [My Copy] (14 February 2008) by Peter L. Bartlett posted to kernels by davidr on 2008-09-01 13:51:41 as
	Intrinsic dimensionality estimation of submanifolds in R<sup>d</sup> [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 289-296. by Matthias Hein, Jean Y. Audibert posted to dimension-reduction manifold by davidr on 2008-08-30 15:42:39 as
	Local Rademacher Complexities [My Copy] The Annals of Statistics, Vol. 33, No. 4. (2005), pp. 1497-1537. by Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson posted to bounds kernels rademacher by davidr on 2008-08-20 20:52:04 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Semi-Supervised Learning [My Copy] (01 September 2006) edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien posted to semisupervised by davidr on 2008-08-13 14:19:53 as along with 11 people dpdearing cdepablo eddymier liamtoh333 thefillm jekky sdvillal ecome bundschu worldsun jung_dalglish
	Relations Between Two Sets of Variates [My Copy] Biometrika, Vol. 28, No. 3/4. (1936), pp. 321-377. by Harold Hotelling posted to cca by davidr on 2008-08-12 17:12:38 as along with 1 person kevinpdavies
	Learning Classification with Unlabeled Data [My Copy] In Proc. NIPS'93, Neural Information Processing Systems (1993), pp. 112-119. by Virginia R. de Sa edited by Jack D. Cowan, Gerald Tesauro, Joshua Alspector posted to multiview semisupervised by davidr on 2008-08-12 16:46:39 as along with 1 person buescher76
	An RKHS for Multi-View Learning and Manifold Co-Regularization [My Copy] In International Conference on Machine Learning (July 2008) by Vikas Sindhwani, David S. Rosenberg posted to no-tag by davidr on 2008-08-12 03:50:48 as
	Semi-supervised learning using Gaussian fields and harmonic functions [My Copy] In In ICML (2003), pp. 912-919. by Xiaojin Zhu, Zoubin Ghahramani, John Lafferty posted to manifold semisupervised by davidr on 2008-08-11 23:12:00 as
	Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions [My Copy] In ICML (2003), pp. 912-919. by Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty edited by Tom Fawcett, Nina Mishra, Tom Fawcett, Nina Mishra posted to manifold semisupervised by davidr on 2008-08-11 23:05:11 as
	Factorial hidden Markov models and the generalized backfitting algorithm [My Copy] Neural Comput., Vol. 14, No. 10. (October 2002), pp. 2415-2437. by Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner posted to gam hmm by davidr on 2008-06-01 14:41:13 as
	Eigenvalues of AB and BA [My Copy] Resonance, Vol. 7, No. 1. (15 January 2002), pp. 88-93. by Rajendra Bhatia posted to matrix by davidr on 2008-05-30 07:25:29 as
	Using Markov chain Monte Carlo and dynamic programming for event sequence data [My Copy] Knowl. Inf. Syst., Vol. 7, No. 3. (March 2005), pp. 267-288. by Marko Salmenkivi, Heikki Mannila posted to counts mcmc by davidr on 2008-05-28 19:37:49 as
	Learning to detect events with Markov-modulated poisson processes [My Copy] ACM Trans. Knowl. Discov. Data, Vol. 1, No. 3. (December 2007) by Alexander Ihler, Jon Hutchins, Padhraic Smyth posted to counts detection by davidr on 2008-05-26 22:11:35 as
	Calibration-Based Predictive Distributions: An Application of Prequential Analysis to Interest Rates, Money, Prices, and Output [My Copy] The Journal of Business, Vol. 62, No. 4. (1989), pp. 477-499. by John L. Kling, David A. Bessler posted to calibration confidence sequence-prediction by davidr on 2008-05-26 18:08:19 as
	Beyond the point cloud: from transductive to semi-supervised learning [My Copy] In ICML, Vol. 119 (2005), pp. 824-831. by Vikas Sindhwani, Partha Niyogi, Mikhail Belkin edited by Luc De Raedt, Stefan Wrobel posted to manifold rkhs semisupervised by davidr on 2008-05-15 20:17:02 as along with 1 person markstoehr

Note: You may cite this page as: http://www.citeulike.org/user/davidr

Result page: 1 2 3 4 5 6 7 8 9 Next

online-learning	50
semisupervised	44
tagged	43
bayesian	32
bibtex-import	30
cotraining	29
statistical-learning-theory	19
asymptotics	16
minimax	15
multiview	14
probability-theory	14
bma	13
rkhs-theory	13
sequence-prediction	13
pca	12
priors	12
regression	12
statistics	11
empirical-results	10
exponential-families	10
nonparametric	10
theoretical-analysis	10
approximation-theory	9
book	9
kernel-method	9
clustering	6
density-estimation	6
gaussian-process	6
genmodel-classification	6
information-geometry	6
math	6
matrix	6
mixture-models	6
svm	6
text-classification	6
boosting	5
classification	5
generalization	5
kernels	5
log-loss	5
manifold	5
model-selection	5
sequence-models	5
stochastic-complexity	5
survey	5
dirichlet-processes	4
empirical-processes	4
graph-regularization	4
optimization	4
pos-tagging	4
rkhs	4
bounds	3
cca	3
conditional-models	3
confidence-interval	3
crf	3
dimension-reduction	3
eigen-methods	3
feature-selection	3
glm	3
information-theory	3
kernel-from-genmodel	3
local-learning	3
mixture-of-experts	3
multi-view	3
naive-bayes	3
numerical-methods	3
pac-learning	3
rademacher	3
adaptivity	2
bayes-nets	2
binomial-proportion	2
chatroom	2
collaborative-filtering	2
confidence	2
counts	2
distribution-theory	2
em	2
ensemble	2
gmm	2
inequalities	2
language-modeling	2
lda	2
learning-to-learn	2
manifolds	2
maxent	2
mcmc	2
mdl	2
multiclass-classification	2
named-entity-recognition	2
neural-network	2
nml	2
parsing	2
partially-supervised	2
plsa	2
regularization	2
semi-supervised	2
topic-models	2
transduction	2
transductive-learning	2
transfer-learning	2
universal-kernel	2
active-learning	1
artificial-intelligence	1
belief-prop	1
benchmarks	1
calibration	1
coding	1
coreference	1
coregularization	1
correlation	1
data-sets	1
decision-trees	1
detection	1
determinant	1
document-classification	1
ecc-classification	1
eda	1
ergodic-theory	1
expansion	1
experiment-design	1
fisher-exact	1
functional-analysis	1
gam	1
glivenko-cantelli	1
good-turing	1
graphical-models	1
hadamard	1
hierarchical	1
hmm	1
ica	1
iterative	1
iterative-scaling	1
knowledge-incorporation	1
laplacian	1
manifold-regularization	1
matlab	1
mds	1
memm	1
metrics	1
microarray	1
mle	1
mml	1
multifactor-pca	1
multinomial	1
multitask	1
normal-distribution-theory	1
pac-bayes	1
polycategorical-classification	1
posterior-regression	1
product-moment	1
random-matrix	1
rates	1
seegerkakadefoster05gaussian	1
self-training	1
semi-markov	1
sieves	1
smoothing	1
software	1
spectral-graph	1
spelling-correction	1
spline	1
stability	1
stat198	1
state-space	1
structured-classification	1
svd	1
tutorial	1
uniform-convergence	1
universal-coding	1
unsupervised	1
variational	1
vision	1
word-sense-disambiguation	1

davidr's library 410 articles Export

davidr's tags