sdvillal's library 1027 articles Export

	Back to the Future: Lisp as a Base for a Statistical Computing System [My Copy] COMPSTAT 2008 (2008), pp. 21-33. by Ross Ihaka, Duncan T. Lang posted to languages-benchmarks by sdvillal on 2009-11-18 14:51:47 as
	Coders at Work [My Copy] (11 September 2009) by Peter Seibel posted to programming by sdvillal on 2009-11-03 23:21:46 as along with 2 people germoglio hawkestein
	Fundamental Limitations on Search Algorithms: Evolutionary Computing in Perspective [My Copy] In Lecture Notes in Computer Science 1000, Vol. 1000 (1995), pp. 275-291. by Nicholas J. Radcliffe, Patrick D. Surry posted to simplicity knowledge-limits free-lunch by sdvillal on 2009-11-03 23:04:16 as
	Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble [My Copy] Expert Systems with Applications, Vol. 36, No. 2. (March 2009), pp. 1978-1998. by Y. Liu, S. Lin, Y. Hsueh, M. Lee posted to occ-support-vector occ-applications manufacturing fault-detection by sdvillal on 2009-10-27 08:16:35 as along with 1 person corgan
	Fabric defect detection based on multiple fractal features and support vector data description [My Copy] Engineering Applications of Artificial Intelligence, Vol. 22, No. 2. (March 2009), pp. 224-235. by Hong-gang Bu, Jun Wang, Xiu-bao Huang posted to occ-support-vector occ-applications manufacturing fault-detection by sdvillal on 2009-10-27 08:16:04 as along with 1 person corgan
	Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images [My Copy] Advances in Data Analysis, Data Handling and Business Intelligence (2010), pp. 755-764. by Reinhard Schachtner, Gerhard Pöppel, Elmar Lang posted to nmf manufacturing by sdvillal on 2009-10-22 19:53:35 as
	Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets [My Copy] Independent Component Analysis and Signal Separation (2009), pp. 710-717. by Reinhard Schachtner, Gerhard Pöppel, Elmar Lang posted to nmf manufacturing by sdvillal on 2009-10-22 19:53:01 as
	Review on Application of Data Mining in Product Design and Manufacturing [My Copy] Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on, Vol. 4 (18 December 2007), pp. 613-618. by Keqin Wang, Shurong Tong, B. Eynard, L. Roucoules, N. Matta posted to manufacturing by sdvillal on 2009-10-19 14:38:41 as
	The Handbook of Data Mining (Volume in the Human Factors and Ergonomics Series) [My Copy] (01 April 2003) posted to data-mining-books by sdvillal on 2009-10-19 12:23:02 as along with 1 person jelsas
	Data Mining in Manufacturing: A Review [My Copy] Journal of Manufacturing Science and Engineering, Vol. 128, No. 4. (2006), pp. 969-976. by J. A. Harding, M. Shahbaz, Srinivas, A. Kusiak posted to manufacturing by sdvillal on 2009-10-19 08:35:40 as
	Data mining in manufacturing: a review based on the kind of knowledge [My Copy] Journal of Intelligent Manufacturing, Vol. 20, No. 5. (1 October 2009), pp. 501-521. by A. Choudhary, J. Harding, M. Tiwari posted to manufacturing by sdvillal on 2009-10-19 08:35:10 as
	Single-Class Classification [My Copy] (1975) by T. C. Minter posted to occ-statistical occ-others occ-applications classic-refs by sdvillal on 2009-10-18 12:03:20 as
	Recent Advances In Data Mining Of Enterprise Data: Algorithms and Applications (Series on Computers and Operations Research) (Series on Computers and Operations ... ... on Computers and Operations Research) [My Copy] (15 January 2008) by T. Warren Liao, Evangelos Triantaphyllou posted to manufacturing data-mining-general data-mining-books by sdvillal on 2009-10-17 11:56:06 as
	Ensembles of One Class Support Vector Machines [My Copy] Multiple Classifier Systems (2009), pp. 181-190. by Albert Shieh, David Kamm posted to occ-support-vector ensembles by sdvillal on 2009-09-25 16:28:15 as
	Learning Bayesian classifiers from positive and unlabeled examples [My Copy] Pattern Recognition Letters, Vol. 28, No. 16. (01 December 2007), pp. 2375-2384. by B. Calvo, P. Larranaga, J. Lozano posted to semi-supervised occ-statistical occ-others by sdvillal on 2009-09-20 10:05:13 as
	Gene function prediction using labeled and unlabeled data [My Copy] BMC Bioinformatics, Vol. 9, No. 1. (2008), 57. by Xing M. Zhao, Yong Wang, Luonan Chen, Kazuyuki Aihara posted to semi-supervised occ-others occ-applications by sdvillal on 2009-09-20 10:02:04 as along with 4 people ptrobajo tmmurali ironcamel mdstobbe
	PSoL: a positive sample only learning algorithm for finding non-coding RNA genes [My Copy] Bioinformatics, Vol. 22, No. 21. (1 November 2006), pp. 2590-2596. by Chunlin Wang, Chris Ding, Richard F. Meraz, Stephen R. Holbrook posted to semi-supervised occ-others occ-applications artificial-negatives by sdvillal on 2009-09-20 09:59:31 as along with 2 people hvphuong eckart_bindewald
	Improving novelty detection for general topics using sentence level information patterns [My Copy] In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management (2006), pp. 238-247. by Xiaoyan Li, W. Bruce Croft posted to occ-others occ-applications by sdvillal on 2009-09-18 08:33:27 as along with 5 people and 4 groups ejmeij tolosoft brusilovsky codex karipuf ilps CMU-HCII social_navigation Adaptive-Web
	Prototype classification: Insights from machine learning [My Copy] Neural computation, Vol. 21, No. 1. (2009), pp. 272-300. by A. B. A. Graf, O. Bousquet, G. Ratsch, B. Scholkopf posted to kernel-machines dimension-reduction classification by sdvillal on 2009-09-16 13:45:55 as
	Effective multi-label active learning for text classification [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 917-926. by Bishan Yang, Jian T. Sun, Tengjiao Wang, Zheng Chen posted to multilabel active-learning by sdvillal on 2009-08-24 09:58:54 as along with 3 people and 1 group egibaja Mohan-S adamsi Multilabel Classification
	Learning with Local and Global Consistency [My Copy] In Advances in Neural Information Processing Systems 16, Vol. 16 (2003), pp. 321-328. by Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schölkopf, Bernhard S. Olkopf posted to transduction semi-supervised consistency by sdvillal on 2009-08-18 11:55:21 as along with 1 person eddymier
	Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1341-1366. by Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola posted to artificial-negatives dimension-reduction ensembles feature-selection by sdvillal on 2009-08-07 08:39:01 as along with 1 person jjrodriguez
	Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification [My Copy] Journal of Machine Learning Research, Vol. 10 (July 2009), pp. 1687-1704. by Eitan Greenshtein, Junyong Park posted to bayesian-learning dimension-reduction feature-selection high-dimensionality sp by sdvillal on 2009-08-07 08:37:57 as
	Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem [My Copy] Advances in Knowledge Discovery and Data Mining (2009), pp. 475-482. by Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap posted to artificial-negatives by sdvillal on 2009-07-21 11:03:23 as
	Robust Process Discovery with Artificial Negative Events [My Copy] Journal of Machine Learning Research, Vol. 10 (June 2009), pp. 1305-1340. by Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens posted to artificial-negatives ilp occ-applications occ-others structured-domains by sdvillal on 2009-07-08 08:03:12 as
	The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models [My Copy] Journal of Machine Learning Research, Vol. 10 (June 2009), pp. 1187-1238. by Ricardo Silva, Zoubin Ghahramani posted to bayesian-learning graphical-models by sdvillal on 2009-07-08 07:56:14 as along with 1 person jmstat
	The Need for Open Source Software in Machine Learning [My Copy] Journal of Machine Learning Research, Vol. 8 (October 2007), pp. 2443-2466. by Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, et al.Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-Robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson posted to ml-software by sdvillal on 2009-07-06 15:40:22 as along with 2 people malibu librain
	A family of additive online algorithms for category ranking [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1025-1058. by Koby Crammer, Yoram Singer posted to multilabel by sdvillal on 2009-07-03 16:19:28 as
	Visual detection of novel terrain via two-class classification [My Copy] In SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing (2009), pp. 1145-1150. by Christopher A. Brooks, Karl Iagnemma posted to artificial-negatives occ-applications occ-support-vector occ-with-unlabelled by sdvillal on 2009-06-30 08:52:26 as
	Combining different biometric traits with one-class classification [My Copy] Signal Processing (18 May 2009) by C. Bergamini, L. S. Oliveira, A. L. Koerich, R. Sabourin posted to biometrics occ-applications occ-for-multiclass occ-fusion occ-support-vector occ-vs-supervised by sdvillal on 2009-06-25 07:55:37 as
	An Empirical Study of Lazy Multilabel Classification Algorithms [My Copy] Artificial Intelligence: Theories, Models and Applications (2008), pp. 401-406. by E. Spyromitros, G. Tsoumakas, Ioannis Vlahavas posted to lazy-learning multilabel by sdvillal on 2009-06-17 21:19:56 as along with 1 person and 1 group tsoumakas Multilabel Classification
	Supervised Learning from Multiple Experts: Whom to trust when everyone lies a bit [My Copy] In ICML: International Conference on Machine Learning (2009) by Vikas Raykar, Shipeng Yu, Linda Zhao, et al.Anna Jerebko, Charles Florin, Gerardo Valadez, Luca Bogoni, Linda Moy posted to bayesian-learning classification multiclass multiple-testing noisylabels supervised text-classification by sdvillal on 2009-06-17 04:32:08 as
	The challenge problem for automated detection of 101 semantic concepts in multimedia [My Copy] In MULTIMEDIA '06: Proceedings of the 14th annual ACM international conference on Multimedia (2006), pp. 421-430. by Cees G. M. Snoek, Marcel Worring, Jan C. van Gemert, Jan-Mark Geusebroek, Arnold W. M. Smeulders posted to datasets image-processing multimedia-ir video by sdvillal on 2009-06-16 08:32:14 as along with 2 people and 3 groups dvallet eddymier mlkd NETS-UAM NETS
	Large scale multi-label classification via metalabeler [My Copy] In WWW '09: Proceedings of the 18th international conference on World wide web (2009), pp. 211-220. by Lei Tang, Suju Rajan, Vijay K. Narayanan posted to datasets multilabel scalability by sdvillal on 2009-06-15 14:29:58 as along with 1 person and 1 group tsoumakas mlkd
	Discriminative Methods for Multi-labeled Classification [My Copy] Advances in Knowledge Discovery and Data Mining (2004), pp. 22-30. by Shantanu Godbole, Sunita Sarawagi posted to kernel-machines multilabel multilabel-adaptation reductions by sdvillal on 2009-06-15 13:23:23 as along with 1 person and 1 group egibaja Multilabel Classification
	Empirical Studies on Multi-label Classification [My Copy] In ICTAI '06: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006), pp. 86-92. by Tao Li, Chengliang Zhang, Shenghuo Zhu posted to multilabel reductions survey by sdvillal on 2009-06-13 08:29:18 as along with 1 person and 1 group egibaja Multilabel Classification
	A multi-label classification algorithm based on triple class support vector machine [My Copy] Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on In Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on, Vol. 4 (2007), pp. 1447-1452. by Shu-Peng Wan, Jian-Hua Xu posted to classification multilabel multilabel-adaptation reductions by sdvillal on 2009-06-13 08:27:30 as along with 1 person and 1 group egibaja Multilabel Classification
	Paired Comparisons Method for Solving Multi-Label Learning Problem [My Copy] Hybrid Intelligent Systems, 2006. HIS '06. Sixth International Conference on In Hybrid Intelligent Systems, 2006. HIS '06. Sixth International Conference on (2006), pp. 42-42. by M. Petrovskiy posted to classification multilabel reductions by sdvillal on 2009-06-13 08:25:12 as along with 1 person jread82
	An Evaluation of Statistical Approaches to Text Categorization [My Copy] Information Retrieval, Vol. 1, No. 1. (1 April 1999), pp. 69-90. by Yiming Yang posted to classification classification-performance-metrics evaluation-methodology text-classification by sdvillal on 2009-06-07 12:27:33 as along with 1 person marlar
	Unsupervised Profiling Methods for Fraud Detection [My Copy] Statistical Science, Vol. 17, No. 3. (2002), pp. 235-255. by Richard J. Bolton, David J. Hand posted to occ-applications occ-others unsupervised-and-supervised by sdvillal on 2009-06-06 09:35:04 as along with 5 people rramirezp mmcgloho seunkemikola mnorlain issbg
	Enhanced supervised locally linear embedding [My Copy] Pattern Recognition Letters (23 May 2009) by Shi-Qing Zhang posted to dimension-reduction distance-metrics metric-learning non-linear supervised-adaptation by sdvillal on 2009-06-03 12:10:50 as
	A validation index for artificial neural networks [My Copy] In Proceedings of Int. Conference on Neural Networks and Expert Systems in Medicine and Healthcare (1994), pp. 23-30. by S. Roberts, L. Tarassenko, J. Pardey, D. Siegwart posted to artificial-negatives occ-neural-networks occ-to-supervised by sdvillal on 2009-06-02 09:46:55 as
	PLPD: reliable protein localization prediction from imbalanced and overlapped datasets. [My Copy] Nucleic acids research, Vol. 34, No. 17. (2006), pp. 4655-4666. by K. Lee, D. W. Kim, D. Na, K. H. Lee, D. Lee posted to multilabel occ-others occ-support-vector occ-to-multilabel by sdvillal on 2009-06-01 18:49:49 as
	Monte Carlo sampling methods using Markov chains and their applications [My Copy] Biometrika, Vol. 57, No. 1. (1 April 1970), pp. 97-109. by W. K. Hastings posted to montecarlo by sdvillal on 2009-05-31 19:10:28 as along with 16 people gtaralds flbarroso AbnerCYH Taguan carmenrg oannes muraken Maderlock alexeid AaronDarling tobin iris_2001 Xavier petermilner przem naegele
	Pranking with ranking [My Copy] In Advances in Neural Information Processing Systems 14, Vol. 14 (2002), pp. 641-647. by Koby Crammer, Yoram Singer posted to ranking by sdvillal on 2009-05-24 14:08:49 as along with 3 people dekrays jhe pprett
	Anomaly Detection: A Survey [My Copy] ACM Computing Surveys (2009) by Varun Chandola, Arindam Banerjee, Vipin Kumar posted to occ-survey by sdvillal on 2009-05-24 11:17:54 as along with 1 person and 1 group atlantis2360 iDataOLD
	Relative Novelty Detection [My Copy] In AISTATS: Artificial Intelligence and Statistics, JMLR W&CP 5 (2009) by Alex Smola, Le Song, Choon H. Teo posted to artificial-negatives loss-functions occ-others occ-support-vector reductions by sdvillal on 2009-05-21 19:51:51 as
	On the Consistency of Multiclass Classification Methods [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 1007-1025. by Ambuj Tewari, Peter L. Bartlett posted to classification consistency multiclass by sdvillal on 2009-05-21 19:26:34 as along with 2 people and 1 group shivak mdreid Statistical Machine Learning
	Consistent Feature Selection for Pattern Recognition in Polynomial Time [My Copy] Journal of Machine Learning Research, Vol. 8 (March 2007), pp. 589-612. by Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér posted to dimension-reduction feature-selection scalability by sdvillal on 2009-05-21 19:25:53 as
	Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis [My Copy] Journal of Machine Learning Research, Vol. 8 (May 2007), pp. 1027-1061. by Masashi Sugiyama posted to dimension-reduction high-dimensionality lda local-learning locality lpp by sdvillal on 2009-05-21 18:58:42 as

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

Result page: 1 2 3 4 5 6 7 8 9 10 Next

occ-applications	258
dimension-reduction	249
occ-others	133
feature-selection	108
occ-support-vector	105
occ-statistical	72
spectral	63
kernel-machines	62
ensembles	59
distance-metrics	54
acii-2007	53
occ-neural-networks	50
locality	49
emotion-recognition	48
time-series	47
semi-supervised	42
occ-to-supervised	36
error-estimation	35
simplicity	29
ml-foundations	28
clustering	27
text-classification	26
ensemble-diversity	25
active-learning	22
multimedia-ir	21
bioinformatics	20
boosting	19
classification	19
intrinsic-dimension-estimation	19
overfitting	19
occ-survey	18
artificial-negatives	17
ml-philosophy	17
scalability	17
20070622	16
data-mining-books	16
free-lunch	16
multiclass	16
occ-high-dimensional	16
reductions	16
calibration	15
image-processing	15
algorithmics	14
multilabel	14
high-dimensionality	13
occ-comparison	13
occ-dimension-reduction	13
occ-nearest-neighbor	13
occ-parameter-fitting	13
autoencoders	12
imbalanced	12
classic-refs	11
data-mining-general	11
datasets	11
evaluation-methodology	10
ica	10
immune-systems	10
pca	10
neural-networks	9
occ-to-multiclass	9
bayesian-learning	8
manufacturing	8
ranking	8
local-learning	7
discretization	6
emotion-models	6
feature-extraction	6
geometry	6
medical-imaging	6
pca-computation	6
roc	6
software-engineering	6
survey	6
algebra	5
graphs	5
loss-functions	5
lpp	5
nearest-neighbors	5
occ-with-outliers	5
theoretical-computer-science	5
unsupervised-dr-for-classification	5
antilearning	4
automata	4
complexity	4
computer-vision	4
cost-sensitive	4
dirichlet	4
incremental-learning	4
model-selection	4
occ-preprocessing	4
online-learning	4
population-based	4
programming	4
reject-option	4
visualization	4
abduction	3
biometrics	3
computer-science	3
concentration-of-measure	3
consistency	3
education	3
embedded-fs	3
generalization	3
interpretability	3
knowledge-limits	3
learning-on-graphs	3
maths	3
ml-review	3
ml-software	3
multiclass-to-occ	3
numerical-computing	3
occ-for-multiclass	3
occ-with-unlabelled	3
optimization	3
small-sample-size	3
statistics	3
test-time-inference	3
transduction	3
unobserved-features	3
unsupervised-and-supervised	3
abstain-option	2
algorithmic-distance-metrics	2
anomaly-detection	2
anytime-induction	2
concept-drift	2
dr-for-classification	2
extreme-value	2
fault-detection	2
featureless	2
fractal	2
general-bayesian-learning	2
high-performance-computing	2
lazy-learning	2
montecarlo	2
multilabel-adaptation	2
multiple-testing	2
negative-example-selection	2
negative-features	2
nmf	2
oca	2
occ-clustering	2
occ-vs-supervised	2
proportional-data	2
regularization	2
sets-of-features	2
structured-domains	2
agnostic-learning	1
algorithmic-stability	1
algorithm-portfolio	1
ambiguity	1
bandits	1
being-harsh	1
bias-variance	1
black-humour	1
cbir	1
classification-performance-metrics	1
coding-theory	1
communication	1
compressed-sensing	1
co-training	1
cryptography	1
decision-theory	1
detecting-performance-fractures	1
distribution-shift	1
entaglement	1
fda	1
game-theory	1
genomics	1
gmms	1
graphical-models	1
hmm	1
ilp	1
incompleteness	1
indexing	1
inter-feature-predictivity	1
languages-benchmarks	1
lda	1
learnability	1
learning-bounds	1
learning-stability	1
map-reduce	1
margin	1
mdl	1
mdr	1
mds	1
meta-learning	1
metric-learning	1
model-analysis	1
models-agreement	1
multi-instance	1
natural-optimization	1
neyman-pearson	1
noisylabels	1
non-linear	1
non-stationary	1
normed-spaces	1
no-silver-bullet	1
novels	1
occ-fusion	1
occ-postprocessing	1
occ-reconstruction	1
occ-to-multilabel	1
partially-labeled-data	1
phase-transition	1
practical-scenarios	1
presentations	1
pso	1
publish-or-perish	1
randomness	1
research-limitations	1
sampling	1
sat	1
scale-sensitive	1
science	1
scientific-software	1
seminal	1
sp	1
speaker-verification	1
speech	1
structured-output	1
supervised	1
supervised-adaptation	1
threshold-selection	1
uniform-convergence	1
video	1

sdvillal's library 1027 articles Export

sdvillal's tags