Search results for "training set"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Hongbing Liu, Shengwu Xiong, Qiong Chen	Extraction of the Reduced Training Set Based on Rough Set in SVMs.	ISNN	2009	DBLP DOI BibTeX RDF	Reduced training set, SVMs, Rough set, Boundary
3	Jinhui Tang, Yan Song, Xian-Sheng Hua, Tao Mei, Xiuqing Wu	To construct optimal training set for video annotation.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	training set construction, video annotation
3	Bernard Girau, Hélène Paugam-Moisy	Load sharing in the training set partition algorithm for parallel neural learning. (PDF / PS)	IPPS	1995	DBLP DOI BibTeX RDF	training set partition algorithm, parallel neural learning, parallel back-propagation algorithm, heterogeneous load sharing, parallel learning, parallel algorithms, resource allocation, backpropagation, algebraic models
2	Linjun Yang, Li Wang, Bo Geng, Xian-Sheng Hua	Query sampling for ranking learning in web search.	SIGIR	2009	DBLP DOI BibTeX RDF	training set construction, learning to rank
2	Juha Koikkalainen, Tuomas Tölli, Kirsi Lauerma, Kari Antila, Elina M. Mattila, Mikko Lilja, Jyrki Lötjönen	Methods of Artificial Enlargement of the Training Set for Statistical Shape Models.	IEEE Trans. Med. Imaging	2008	DBLP DOI BibTeX RDF
2	Jing Wang, Hongming Cai, Boyi Xu, Lihong Jiang	CUCS: A Web Page Classification Algorithm for Large Training Set.	NPC Workshops	2008	DBLP DOI BibTeX RDF	Large training set, SVM, Clustering Algorithm, Web page classification
2	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.	ICANN	2008	DBLP DOI BibTeX RDF
2	Cezary Dendek, Jacek Mandziuk	Improving Performance of a Binary Classifier by Training Set Selection.	ICANN	2008	DBLP DOI BibTeX RDF
2	Mei Wang, Xiangdong Zhou, Hongtao Xu	Web Image Annotation Based on Automatically Obtained Noisy Training Set.	APWeb	2008	DBLP DOI BibTeX RDF
2	Corey Goldfeder, Haoyun Feng, Peter K. Allen	SHREC'08 entry: Training set expansion via autotags.	Shape Modeling International	2008	DBLP DOI BibTeX RDF
2	Yilei Xu, Amit K. Roy Chowdhury	Learning a geometry integrated image appearance manifold from a small training set.	CVPR	2008	DBLP DOI BibTeX RDF
2	Kyung Soon Lee	Incorporating topical support documents into a small training set in text categorization.	CIKM	2008	DBLP DOI BibTeX RDF	topical support representation, support vector machine, transformation, text categorization
2	Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa	Suppression based immune mechanism to find arepresentative training set in data classification tasks.	GECCO	2007	DBLP DOI BibTeX RDF	classification, artificial immune systems, KDD
2	Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, Jie Chen 0001	Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set.	CVPR	2007	DBLP DOI BibTeX RDF
2	Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa	The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.	ICARIS	2007	DBLP DOI BibTeX RDF
2	Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano	Improving the k-NN method: Rough Set in edit training set.	IFIP PPAI	2006	DBLP DOI BibTeX RDF
2	Jin Wang, Chong Ho Lee	Introducing Partitioning Training Set Strategy to Intrinsic Incremental Evolution.	MICAI	2006	DBLP DOI BibTeX RDF
2	Ruiping Wang, Jie Chen 0001, Shiguang Shan, Wen Gao	Enhancing Training Set for Face Detection.	ICPR	2006	DBLP DOI BibTeX RDF
2	Yaile Caballero, Rafael Bello, Alberto Taboada, Ann Nowé, María M. García, Gladys Casas	A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.	SYNASC	2006	DBLP DOI BibTeX RDF
2	Chunli Wang, Xilin Chen, Wen Gao	Expanding Training Set for Chinese Sign Language Recognition.	FG	2006	DBLP DOI BibTeX RDF
2	J. Scott Olsson	An analysis of the coupling between training set and neighborhood sizes for the kNN classifier.	SIGIR	2006	DBLP DOI BibTeX RDF	parameter stability, text classification, k-Nearest Neighbors, parameter tuning
2	Tuomas Tölli, Juha Koikkalainen, Kirsi Lauerma, Jyrki Lötjönen	Artificially Enlarged Training Set in Image Segmentation.	MICCAI	2006	DBLP DOI BibTeX RDF
2	Woojin Chang	Reliable Keystroke Biometric System Based on a Small Number of Keystroke Samples.	ETRICS	2006	DBLP DOI BibTeX RDF	Keystroke Biometric System, Hierarchical tree-based classification, Discrete Wavelet Transform, Resampling, Training set
2	Pedro García, José Ruiz, Antonio Cano, Gloria Inés Alvarez	Inference Improvement by Enlarging the Training Set While Learning DFAs.	CIARP	2005	DBLP DOI BibTeX RDF
2	Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui Zhang	Select the Size of Training Set for Financial Forecasting with Neural Networks.	ISNN	2005	DBLP DOI BibTeX RDF
2	Tie-Yan Liu, Hao Wan, Wei-Ying Ma	An Editor Labeling Model for Training Set Expansion in Web Categorization.	Web Intelligence	2005	DBLP DOI BibTeX RDF
2	Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano	Using rough sets to edit training set in k-NN method.	ISDA	2005	DBLP DOI BibTeX RDF	k-NN method, data analysis, Rough Set Theory
2	Iván Cantador, José R. Dorronsoro	Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning.	IbPRIA	2005	DBLP DOI BibTeX RDF
2	Jyrki Lötjönen, Kari Antila, E. Lamminmäki, Juha Koikkalainen, Mikko Lilja, Timothy F. Cootes	Artificial Enlargement of a Training Set for Statistical Shape Models: Application to Cardiac Images.	FIMH	2005	DBLP DOI BibTeX RDF
2	Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai	On the Size of Training Set and the Benefit from Ensemble.	PAKDD	2004	DBLP DOI BibTeX RDF
2	Jaeho Kang, Kwang Ryel Ryu, Hyuk-Chul Kwon	Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification.	PAKDD	2004	DBLP DOI BibTeX RDF
2	Jie Chen 0001, Xilin Chen, Wen Gao	Expand Training Set for Face Detection by GA Re-sampling. (PDF / PS)	FGR	2004	DBLP DOI BibTeX RDF
2	Stefano Baldi, Simone Marinai, Giovanni Soda	Using tree-grammars for training set expansion in page classification.	ICDAR	2003	DBLP DOI BibTeX RDF
2	Vojtech Franc, Václav Hlavác	Greedy Algorithm for a Training Set Reduction in the Kernel Methods.	CAIP	2003	DBLP DOI BibTeX RDF
2	María Teresa Lozano, José Salvador Sánchez, Filiberto Pla	Using the Geometrical Distribution of Prototypes for Training Set Condensing.	CAEPIA	2003	DBLP DOI BibTeX RDF
2	Jim Torresen	Evolving Multiplier Circuits by Training Set and Training Vector Partitioning.	ICES	2003	DBLP DOI BibTeX RDF
2	Jamshid Dehmeshki, Mustafa Karaköy, Manlio Valdivieso Casique	A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set.	MLDM	2003	DBLP DOI BibTeX RDF
2	Javier Cano-Perez, Juan Carlos Pérez-Cortes, Joaquim Arlandis, Rafael Llobet	Training Set Expansion in Handwritten Character Recognition.	SSPR/SPR	2002	DBLP DOI BibTeX RDF
2	Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi, Anil K. Jain, Judith E. Dayhoff	Aircraft Detection: A Case Study in Using Human Similarity Measure.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	Aircraft detection, automatic target recognition (ATR), training set augmentation, learning, similarity measure, data generation
2	Seppo Puuronen, Vagan Y. Terziyan	A Similarity Evaluation Technique for Data Mining with an Ensemble of Classifiers. (PDF / PS)	DEXA Workshops	2000	DBLP DOI BibTeX RDF	similarity evaluation technique, nearest neighbor recognition, learning phase, data mining, data mining, predicates, classifier ensemble, training set, misclassification errors
2	Rong Xiao, Jicheng Wang, Fuyan Zhang	An approach to incremental SVM learning algorithm.	ICTAI	2000	DBLP DOI BibTeX RDF	incremental learning algorithm, support vector set properties, classification equivalence, knowledge accumulation, optimal unimportant sample discarding, least-recently used scheme, training process speed, classification precision, support vector machine, learning (artificial intelligence), pattern classification, learning automata, training set, classification algorithm, storage costs
2	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa	How to Select the Inputs for a Multilayer Feedforward Network by Using the Training Set.	IWANN	1999	DBLP DOI BibTeX RDF
2	A. Mabbmann, Stefan Posch, Gerhard Sagerer, Daniel Schlüter	Using Markov Random Fields for Contour-Based Grouping. (PDF / PS)	ICIP	1997	DBLP DOI BibTeX RDF	contour-based grouping, contour-based segmentation, image primitives, image data regularities, Gestalt psychology, local evidence, hand labelled training set, abstraction, Markov random fields, Markov processes, hierarchy, real data
2	Alain Trémeau, Christophe Charrier, Hocine Cherifi	A vector quantization algorithm based on the nearest neighbor of the furthest color. (PDF / PS)	ICIP	1997	DBLP DOI BibTeX RDF	vector quantization algorithm, codebook optimization, VQ compression, max-min algorithm, color space partitioning, centroid process, vector block selection, iterative selection, tests, image compression, vector quantisation, nearest neighbor query, partitioning algorithm, training set, codebook, selection algorithm
2	Sourabh Niyogi, William T. Freeman	Example-based head tracking.	FG	1996	DBLP DOI BibTeX RDF	example-based head tracking, human heads pose estimation, output parametric description, nearest example neighbor, quantized input code, tree-structured vector quantizer, real-time prototype, indexing, vector quantization, vector quantisation, training set, nonlinear mapping
2	Marcella A. McClure, Rajasekhar Raman	Parameterization studies of hidden Markov models representing highly divergent protein sequences.	HICSS	1995	DBLP DOI BibTeX RDF	parameterization studies, highly divergent protein sequences, complex genome analysis, nucleic acid, molecular evolutionary mechanisms, homologous sequences, distantly related proteins, HMM approaches, multiple protein sequence alignment, highest average entropylposition model, biologically informative model, biological features, protein family, model length, training set size, biologically informative HMMs, hidden Markov models, hidden Markov models, DNA, genetics, genetics, biology computing, optimal model, protein sequences
2	Katsuhiro Matsuno, Chil-Woo Lee, Satoshi Kimura, Saburo Tsuji	Automatic Recognition of Human Facial Expressions. (PDF / PS)	ICCV	1995	DBLP DOI BibTeX RDF	automatic recognition, human facial expressions, unknown human face, input imagery, two dimensional net, potential net, single input image, deformation patterns, common human face, mosaic method, histogram analysis, horizontal projections, face recognition, edge detection, faceness, training set, face images, emotion space
2	Andrew D. Wilson, Aaron F. Bobick	A State-Based Technique for the Summarization and Recognition of Gesture. (PDF / PS)	ICCV	1995	DBLP DOI BibTeX RDF	mouse controllers (computers), state-based technique, prototype trajectory, unsegmented sensor data, gesture-related sensory data, two-dimensional movements, mouse input device, magnetic spatial position, eigenvector projection coefficients, motion estimation, image sequences, image sequence, image recognition, gesture recognition, variability, repeatability, training set
2	Judith Hochberg, Lila Kerns, Patrick Kelly, Timothy Thomas	Automatic script identification from images using cluster-based templates. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	automatic script identification, cluster-based templates, image form, representative symbols, textual symbols, training documents, discrete characters, Cyrillic, character fragments, whole words, connected scripts, optical character recognition, image recognition, templates, scripts, Arabic, centroid, fonts, training set
2	Hiroyasu Takahashi, K. M. Mohiuddin	A clustering method and radius tuning by end users. (PDF / PS)	ICDAR	1995	DBLP DOI BibTeX RDF	radius tuning, intra class step, inter class step, best radius, prototype library, Japanese test set, optical character recognition, OCR, distance metrics, end users, clustering method, training set
2	David A. Cohn, Eve A. Riskin, Richard E. Ladner	Theory and Practice of Vector Quantizers Trained on Small Training Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	small training sets, memoryless vector quantizer, training set distortion, test distortion, training image, formal bounds, vector quantizer codebooks, empirical simulations, image coding, statistics, learning systems, vector quantisation, Vapnik-Chervonenkis dimension
1	Jerzy Sas, Urszula Markowska-Kaczmar	Similarity-based training set acquisition for continuous handwriting recognition.	Inf. Sci.	2012	DBLP DOI BibTeX RDF
1	Juan Ramón Rico-Juan, José Manuel Iñesta Quereda	New rank methods for reducing the size of the training set using the nearest neighbor rule.	Pattern Recognition Letters	2012	DBLP DOI BibTeX RDF
1	Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas	SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise.	PAKDD	2012	DBLP DOI BibTeX RDF
1	Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko	Distance Measures in Training Set Selection for Debt Value Prediction.	PerMIn	2012	DBLP DOI BibTeX RDF
1	Olga Rajadell, Pedro García-Sevilla	Automatic Selection of the Training Set for Semi-supervised Land Classification and Segmentation of Satellite Images.	ICPRAM	2012	DBLP BibTeX RDF
1	Nicolás García-Pedrajas	Evolutionary computation for training set selection.	Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery	2011	DBLP DOI BibTeX RDF
1	Lizhen Liu, Qianhui Liang	A high-performing comprehensive learning algorithm for text classification without pre-labeled training set.	Knowl. Inf. Syst.	2011	DBLP DOI BibTeX RDF
1	Jinhui Tang, Shuicheng Yan, Tat-Seng Chua, Ramesh Jain	Label-Specific Training Set Construction from Web Resource for Image Annotation	CoRR	2011	DBLP BibTeX RDF
1	Indre Zliobaite	Combining similarity in time and space for training set formation under concept drift.	Intell. Data Anal.	2011	DBLP DOI BibTeX RDF
1	Fabio Clarizia, Francesco Colace, Massimo De Santo, Luca Greco, Paolo Napoletano	A Novel Supervised Text Classifier from a Small Training Set.	KDIR	2011	DBLP BibTeX RDF
1	Sérgio Matos, José Luís Oliveira	Prioritizing Literature Search Results Using a Training Set of Classified Documents.	PACBB	2011	DBLP DOI BibTeX RDF
1	Weiqin Zou, Yan Hu, Jifeng Xuan, He Jiang	Towards Training Set Reduction for Bug Triage.	COMPSAC	2011	DBLP DOI BibTeX RDF
1	Matthias Hillebrand, Christian Wöhler, Ulrich Kreßel, Franz Kummert	Semi-supervised Training Set Adaption to Unknown Countries for Traffic Sign Classifiers.	PSL	2011	DBLP DOI BibTeX RDF
1	Jacinto C. Nascimento, Gustavo Carneiro	Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images.	ICIP	2011	DBLP DOI BibTeX RDF
1	Modesto Castrillón Santana, Daniel Hernández-Sosa, Javier Lorenzo-Navarro	Viola-Jones Based Detectors: How Much Affects the Training Set?	IbPRIA	2011	DBLP DOI BibTeX RDF
1	Evangelos Kanoulas, Stefan Savev, Pavel Metrikov, Virgiliu Pavlu, Javed A. Aslam	A large-scale study of the effect of training set characteristics over learning-to-rank algorithms.	SIGIR	2011	DBLP DOI BibTeX RDF
1	Luca Giancardo, Fabrice Meriaudeau, Thomas P. Karnowski, Y. Li, Kenneth W. Tobin, Edward Chaum	Automatic retina exudates segmentation without a manually labelled training set.	ISBI	2011	DBLP DOI BibTeX RDF
1		Training Set.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	P. Viswanath, V. Suresh Babu, T. Naveen Kumar	A Method to Generate a Reduced Training Set for Faster and Better Nearest Neighbor Classification.	KDIR	2010	DBLP BibTeX RDF
1	Guangtai Liang, Ling Wu, Qian Wu, Qianxiang Wang, Tao Xie, Hong Mei	Automatic construction of an effective training set for prioritizing static analysis warnings.	ASE	2010	DBLP DOI BibTeX RDF
1	A. S. Tolba	Manifolds for training set selection through outlier detection.	ISSPIT	2010	DBLP DOI BibTeX RDF
1	Andrea Ernst-Gerlach, Norbert Fuhr	Advanced Training Set Construction for Retrieval in Historic Documents.	AAIRS	2010	DBLP DOI BibTeX RDF
1	Rong Hu, Brian Mac Namee, Sarah Jane Delany	Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning.	FLAIRS Conference	2010	DBLP BibTeX RDF
1	Ajay Basavanhally, Scott Doyle, Anant Madabhushi	Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis.	ISBI	2010	DBLP DOI BibTeX RDF
1	Xinxin Wang, K. Selçuk Candan	Relevant shape contour snippet extraction with metadata supported hidden Markov models.	CIVR	2010	DBLP DOI BibTeX RDF	shape snippet detection, HMM, SAX
1	Jun Wu, Marcel Worring	Genre-specific semantic video indexing.	CIVR	2010	DBLP DOI BibTeX RDF	efficiency, semantic indexing, genre classification
1	María A. Franco, Natalio Krasnogor, Jaume Bacardit	Speeding up the evaluation of evolutionary learning systems using GPGPUs.	GECCO	2010	DBLP DOI BibTeX RDF	evolutionary algorithms, gpgpus, learning classifier systems, rule induction, large-scale datasets
1	Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis	Consensus-based distributed linear support vector machines.	IPSN	2010	DBLP DOI BibTeX RDF	optimization, sensor networks, support vector machines
1	Damian Borth, Adrian Ulges, Thomas M. Breuel	Relevance filtering meets active learning: improving web-based concept detectors.	Multimedia Information Retrieval	2010	DBLP DOI BibTeX RDF	content-based video retrieval, concept detection
1	Jakob J. Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid	Image annotation with tagprop on the MIRFLICKR set.	Multimedia Information Retrieval	2010	DBLP DOI BibTeX RDF	image annotation
1	Andreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim	Enhancing document structure analysis using visual analytics.	SAC	2010	DBLP DOI BibTeX RDF	automatic document structure analysis, visual analytics
1	Massih-Reza Amini, Cyril Goutte, Nicolas Usunier	Combining coregularization and consensus-based self-training for multilingual text categorization.	SIGIR	2010	DBLP DOI BibTeX RDF	learning from multiple views, multilingual document classification, semi-supervised learning
1	Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle L. Tseng	Active learning for ranking through expected loss optimization.	SIGIR	2010	DBLP DOI BibTeX RDF	expected loss optimization, ranking, active learning
1	Tao Lei, Rui Cai, Jiang-Ming Yang, Yan Ke, Xiaodong Fan, Lei Zhang 0001	A pattern tree-based approach to learning URL normalization rules.	WWW	2010	DBLP DOI BibTeX RDF	url deduplication, url normalization, url pattern
1	Salvador García, Alberto Fernández, Francisco Herrera	Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.	Appl. Soft Comput.	2009	DBLP DOI BibTeX RDF
1	Keiji Yasuda, Hirofumi Yamamoto, Eiichiro Sumita	Training Set Selection for Building Compact and Efficient Language Models.	IEICE Transactions	2009	DBLP BibTeX RDF
1	Kevin Y. Yip, Mark Gerstein	Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactions.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Jie Chen 0001, Xilin Chen, Jie Yang 0001, Shiguang Shan, Ruiping Wang, Wen Gao	Optimization of a training set for more robust face detection.	Pattern Recognition	2009	DBLP DOI BibTeX RDF
1	Debrup Chakraborty	Neural Network Ensembles from Training Set Expansions.	CIARP	2009	DBLP DOI BibTeX RDF
1	Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas	Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization.	IEEE Congress on Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Yen-Hsien Lee, Tsang-Hsiang Cheng, Ci-Wei Lan, Chih-Ping Wei, Paul Jen-Hwa Hu	Overcoming small-size training set problem in content-based recommendation: a collaboration-based training set expansion approach.	ICEC	2009	DBLP DOI BibTeX RDF
1	Laura Alonso Alemany, Santiago Bruno	Learning to Learn Biological Relations from a Small Training Set.	CICLing	2009	DBLP DOI BibTeX RDF
1	Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, Yantao Zheng	NUS-WIDE: a real-world web image database from National University of Singapore.	CIVR	2009	DBLP DOI BibTeX RDF	tag refinement, training set construction, annotation, retrieval, Flickr, web image
1	Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffney	Improving web page classification by label-propagation over click graphs.	CIKM	2009	DBLP DOI BibTeX RDF	page similarity, seed set expansion, web page classification, click-through data
1	Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle L. Tseng	A risk minimization framework for domain adaptation.	CIKM	2009	DBLP DOI BibTeX RDF	label-relation, source domain, target domain, domain adaptation, risk minimization
1	Bingjun Sun, Prasenjit Mitra, C. Lee Giles	Learning to rank graphs for online similar graph search.	CIKM	2009	DBLP DOI BibTeX RDF	similarity graph search, learn to rank, graph kernel
1	Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szymanski	Semi-supervised learning of semantic classes for query understanding: from the web and for the web.	CIKM	2009	DBLP DOI BibTeX RDF	html lists, lexicon acquisition/set expansion, model over-fitting, query understanding/semantic tagging, information extraction, semi-supervised learning, conditional random fields
1	Ceyhun Burak Akgül, Devrim Unay, Ahmet Ekin	Automated diagnosis of Alzheimer's disease using image similarity and user feedback.	CIVR	2009	DBLP DOI BibTeX RDF	MR image databases, similarity learning, uncertain user models, medical diagnosis, Alzheimer's disease
1	Salvatore Alessandro Sarcià, Victor R. Basili, Giovanni Cantone	Scope error detection and handling concerning software estimation models.	ESEM	2009	DBLP DOI BibTeX RDF