active learning with confidence
Báo cáo khoa học: "Active Learning with Confidence" doc
... slow anddifficult. One popular solution is Active Learning, which maximizes learning accuracy while minimiz-ing labeling efforts. In active learning, the learning algorithm itself selects unlabeled ... selection criteria Active Confident Learning (ACL).4 EvaluationTo evaluate our active learning methods we useda similar experimental setup to Tong and Koller(2001). Each active learning algorithm ... fast to train — an important property for inter- active learning. Experimental validation on a num-ber of datasets shows that active learning with con-fidence can improve standard methods.2...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx
... 2001). Although there aremany active learning methods with various classi-fiers such as a probabilistic classifier (McCallum andNigam, 1998), we focus on active learning with Sup-port Vector Machines ... from passive learning, in which a classifiergets labeled examples randomly. Active learning isa general framework and does not depend on tasksor domains. It is expected that active learning willreduce ... show that SVM active learning works wellfor Japanese word segmentation, which is one ofsuch complex tasks, and the naive use of a large pool with the previous method of SVM active learning isless...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
... eachadaptation iteration. The adaptation process using active learning is represented by the curve a, whileapplying count-merging with active learning is rep-resented by the curve a-c. Note that ... al.(2006), where active learning was used successfullyto reduce the annotation effort for WSD of 5 Englishverbs using coarse-grained evaluation. In that work,the authors only used active learning ... data from WSJ. In thebaseline approach, the additional WSJ examples arerandomly selected. With active learning (Lewis andGale, 1994), we use uncertainty sampling as shownDT← the set of BC...
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Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf
... Random sampling with EM, abbreviated as with- EM, is the variant approach where dmin in line 26 of figure 1 is randomly selected without using confidence score. Uncertainty sampling without EM ... Adaptation with Active Learning for Word Sense Disambigua-tion. Proc. of ACL 2007, 49-56. Chen, J., Schein, A., Ungar, L., and Palmer, M. 2006. An Empirical Study of the Behavior of Active Learning ... an active learning approach starting with human labeled negative examples. The number of hu-5658606264666870720 102030405060708090100757779818385878991human with- EMwithout-EMrandomm-clusteringb-clustering63...
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Active learning( Day-Học tích cực)
... nhân người học, đảm bảo cho họ thích ứng với đời sống xà hội. TECHNIQUES THAT SUPPORT ACTIVE LEARNING BRAINSTORMING Free writing Listing/bulleting Clustering/mapping/webbing ... thiểu vai trò của ngườiKhác Quá phục tùngTự biến mình thành người vô hìnhThờ ơ Active learning Một số biểu hiện cụ thể của người học theo hướng tích cựcNgười học biết làm chủ...
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Tài liệu Báo cáo khoa học: "Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing" docx
... directions.2 Active Learning 2.1 Pool-based Active Learning Our base framework of active learning is based onthe algorithm of (Lewis and Gale, 1994), which iscalled pool-based active learning. ... proposemethods of improving active learning for parsingby using a smaller constituent than a sentence asa unit that is selected at each iteration of active learning. Typically in active learning for parsing ... frameworkof active learning, since the selection strategy with large mar-gin classifiers (Section 2.2) is much simpler and seems morepractical for active learning in Japanese dependency parsingwith...
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
... machine active learning with applications to textclassification. Journal of Machine Learning Re-search (JMLR), 2:45–66.David Vickrey, Oscar Kipersztok, and Daphne Koller.2010. An active learning ... Vijay-Shanker. 2009b. Tak-ing into account the differences between activelyand passively acquired data: The case of active learning with support vector machines for imbal-anced datasets. In Proceedings ... Association for Computational Linguistics.Greg Schohn and David Cohn. 2000. Less is more: Active learning with support vector machines. InProc. 17th International Conf. on Machine Learn-ing, pages...
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Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf
... 2002), scientific text is annotated with POS tags,parse trees, and named entities.In this paper, we introduce multi-task active learning (MTAL), an active learning paradigm formultiple annotation ... Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123–140.David A. Cohn, Zoubin Ghahramani, and Michael I. Jor-dan. 1996. Active learning with statistical models.Journal of Artificial ... is extremely labor-intensive. The Active Learning (AL) paradigm(Cohn et al., 1996) offers a promising solution todeal with this bottleneck, by allowing the learning algorithm to control the...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... 2000, Learning to construct knowledge bases from the World Wide Web, Artificial Intelligence, 118(1-2), pp. 69-113. T. Joachims, 1998, Text Categorization with Support Vector Machines: Learning ... features. Since elements with a high TF-IDF value in projections of a feature must become more useful classification criteria for the feature, we use only elements with TF-IDF values above ... Using TCFP with those Using other Classifiers In this section, we prove the superiority of TCFP over the other classifiers (SVM, kNN, Naive Bayes (NB), Roccio) in training data with much noisy...
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Marky stein fearless interviewing how to win the job by communicating with confidence (2002)
... incareer development and counseling.Within 6 months of deciding to become a career counselor, Ihad appointments booked for 2 months with a waiting list! I worked with clients in industries as diverse ... years had been a C minus. Using my skills inresearching age-appropriate program planning, interactive learning approaches, and developing innovative presentations,I was able to bring up the class ... the benefitof the trademark owner, with no intention of infringement of the trademark. Where such designationsappear in this book, they have been printed with initial caps. McGraw-Hill eBooks...
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Báo cáo khoa học: "Phrase-based Statistical Language Generation using Graphical Models and Active Learning" potx
... partici-pants are presented with a ‘gold standard’ humanutterance from our dataset, which they must com-pare with utterances generated by models trained with and without active learning on a set of ... through active learning, inwhich the next semantic input to annotate is de-termined by the current model. The probabilis-tic nature of BAGEL allows the use of certainty-based active learning ... samedialogue act can only be queried twice during the active learning procedure. A consequence is thatthe training set used for active learning convergestowards the randomly sampled set as...
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Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx
... clusteringresults in a better learning curve.4.4 Summary ResultFigure 8 shows the best active learning result compared with that of random selection. The learning curve for ac-tive learning is obtained ... the test set. The ef-fectiveness of active learning is measured by comparing learning curves (i.e., test accuracy vs. number of trainingsentences ) of active learning and random selection.4.1 ... time) required for a statistical parser toachieve a satisfactory performance using active learning. Active learning has been studied in the context of manynatural language processing (NLP) applications...
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Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... future work, we plan to incorporate trian-gulation into our active learning approach.7 ConclusionThis paper introduced the novel active learning task of adding a new language to an existing multi-lingual ... provides results for active learning for MT using a single language pair. Ourwork generalizes to the use of multilingual corporausing new methods that are not possible with a sin-gle language ... for active learning in the single language-pair setting which we thenapplied to the multilingual sentence selection pro-tocols. In the multilingual setting, a novel co-training method for active...
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Báo cáo khoa học: "Semi-Supervised Active Learning for Sequence Labeling" pptx
... combination with three confi-dence thresholds (0.99, 0.9, and 0.7). Figure 4 de-picts the respective learning curves on the MUC7corpus. For SeSAL with t = 0.99, the delay1045 confidence scorefrequency0.2 ... arefully manually labeled. We refer to this AL modeas fully supervised Active Learning (FuSAL).3.2 Semi-Supervised Active Learning In the sequence labeling scenario, an examplewhich, as a whole, ... (SeSAL) with its fully supervised counterpart (FuSAL), usinga passive learning scheme where examples arerandomly selected (RAND) as baseline. SeSALis first applied in a default configuration with...
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speak japanese with confidence
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- an empirical study of active learning
- learning with unlabeled data
- a combination of active learning
- active learning with confidence
- methods in active learning for annotation
- learning with annotation noise
- an active learning approach
- largescale costfocused active learning
- learning with labeled and unlabeled data seeger
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