active learning with confidence

... slow and difficult. 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 Evaluation To evaluate our active learning methods we used a 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...

Ngày tải lên: 17/03/2014, 02:20

... 2001). Although there are many active learning methods with various classi- fiers such as a probabilistic classifier (McCallum and Nigam, 1998), we focus on active learning with Sup- port Vector Machines ... from passive learning, in which a classifier gets labeled examples randomly. Active learning is a general framework and does not depend on tasks or domains. It is expected that active learning will reduce ... show that SVM active learning works well for Japanese word segmentation, which is one of such complex tasks, and the naive use of a large pool with the previous method of SVM active learning is less...

Ngày tải lên: 17/03/2014, 08:20

... each adaptation iteration. The adaptation process using active learning is represented by the curve a, while applying count-merging with active learning is rep- resented by the curve a-c. Note that ... al. (2006), where active learning was used successfully to reduce the annotation effort for WSD of 5 English verbs using coarse-grained evaluation. In that work, the authors only used active learning ... data from WSJ. In the baseline approach, the additional WSJ examples are randomly selected. With active learning (Lewis and Gale, 1994), we use uncertainty sampling as shown D T ← the set of BC...

Ngày tải lên: 08/03/2014, 02:21

... Random sampling with EM, abbreviated as with- EM, is the variant approach where d min 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- 56 58 60 62 64 66 68 70 72 0 102030405060708090100 75 77 79 81 83 85 87 89 91 human with- EM without-EM random m-clustering b-clustering 63 ...

Ngày tải lên: 23/03/2014, 17:20

... 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 người Khác Quá phục tùng Tự biến mình thành người vô hình Thờ ơ Active learning Một số biểu hiện cụ thể của người học theo hướng tích cực Người học biết làm chủ...

Ngày tải lên: 14/10/2013, 07:11

... directions. 2 Active Learning 2.1 Pool-based Active Learning Our base framework of active learning is based on the algorithm of (Lewis and Gale, 1994), which is called pool-based active learning. ... propose methods of improving active learning for parsing by using a smaller constituent than a sentence as a unit that is selected at each iteration of active learning. Typically in active learning for parsing ... framework of active learning, since the selection strategy with large mar- gin classifiers (Section 2.2) is much simpler and seems more practical for active learning in Japanese dependency parsing with...

Ngày tải lên: 20/02/2014, 04:20

... machine active learning with applications to text classification. 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 actively and 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. In Proc. 17th International Conf. on Machine Learn- ing, pages...

Ngày tải lên: 20/02/2014, 04:20

... 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 for multiple 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 to deal with this bottleneck, by allowing the learning algorithm to control the...

Ngày tải lên: 20/02/2014, 09:20

... 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...

Ngày tải lên: 20/02/2014, 16:20

Ngày tải lên: 08/03/2014, 16:20

... in career development and counseling. Within 6 months of deciding to become a career counselor, I had 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 in researching age-appropriate program planning, interactive learning approaches, and developing innovative presentations, I was able to bring up the class ... the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks...

Ngày tải lên: 16/03/2014, 08:41

... partici- pants are presented with a ‘gold standard’ human utterance 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, in which 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 ... same dialogue act can only be queried twice during the active learning procedure. A consequence is that the training set used for active learning converges towards the randomly sampled set as...

Ngày tải lên: 17/03/2014, 00:20

... clustering results in a better learning curve. 4.4 Summary Result Figure 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 training sentences ) of active learning and random selection. 4.1 ... time) required for a statistical parser to achieve a satisfactory performance using active learning. Active learning has been studied in the context of many natural language processing (NLP) applications...

Ngày tải lên: 17/03/2014, 08:20

... future work, we plan to incorporate trian- gulation into our active learning approach. 7 Conclusion This 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. Our work generalizes to the use of multilingual corpora using new methods that are not possible with a sin- gle language ... for active learning in the single language-pair setting which we then applied to the multilingual sentence selection pro- tocols. In the multilingual setting, a novel co- training method for active...

Ngày tải lên: 23/03/2014, 16:21

... combination with three confi- dence thresholds (0.99, 0.9, and 0.7). Figure 4 de- picts the respective learning curves on the MUC7 corpus. For SeSAL with t = 0.99, the delay 1045 confidence score frequency 0.2 ... are fully manually labeled. We refer to this AL mode as fully supervised Active Learning (FuSAL). 3.2 Semi-Supervised Active Learning In the sequence labeling scenario, an example which, as a whole, ... (SeSAL) with its fully supervised counterpart (FuSAL), using a passive learning scheme where examples are randomly selected (RAND) as baseline. SeSAL is first applied in a default configuration with...

Ngày tải lên: 23/03/2014, 16:21

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Ngày tải lên: 30/03/2014, 21:20

Ngày tải lên: 30/03/2014, 21:20