5agent learning for task prioritization in sensor

... presented in part in IEEE International Symposium on Information Processing in Sensor Networks (IPSN), April 2005 References [1] F Zhao, J Shin, and J Reich, “Information-driven dynamic sensor collaboration,” ... design and distributed encoding algorithm for source localization in sensor networks,” in Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN ’05), ... decoding errors, two decoding rules in Section were applied In Figure 8, the performance curves for two decoding rules were plotted for comparison As can be seen, the weighted decoding rule performs...

Ngày tải lên: 21/06/2014, 08:20

Ngày tải lên: 13/11/2014, 10:05

... words are used in both training domain and testing domain while the second part obliges that the probability of a word occurring in training domain equals that of in testing domain If these two ... supervised learning methods and unsupervised learning methods Supervised methods require correct outputs for instances in training data, and their objective is to learn a function from the training ... definitively outperform others Due to opinion words being the dominating indicators for sentiment classification, it is quite natural to use unsupervised learning based on such words This kind...

Ngày tải lên: 09/09/2015, 11:28

... performing and learning this task 4.3.2 Learning using the previous SOM An interesting generalization test is to use an SOM trained with samples from insertions of the square peg for learning the insertions ... steps required to perform a correct insertion and is expressed in terms of cost or negative reinforcement Sutton [22] defined reinforcement learning (RL) as the learning of a mapping from situations ... The basic learning step consists in updating a single Q-value If the system senses state s, and it performs action a, resulting in reinforcement r and E Cervera, A.P del Pobil / Information Sciences...

Ngày tải lên: 28/03/2014, 14:20

... existing bids Consumer asks for the bid for accomplishing task by this format {Task, Task Size, Task Deadline, Budget,α} Then sensor nodes update their bid upon receiving this message Round Initialization: ... sellers for the distributed and centralized winner determination method The task message format for centralize method is {Task, Task Size, Task Deadline} where Task can be any low-level tasks ... scheduling and decision making are the problems that must be solved Decision-makings and resource allocations require gathering and coordinating information spread across sensors’ information processes...

Ngày tải lên: 30/09/2015, 14:23

... For describing the lowest point The number of students hit a trough/plunged to a trough of 2000 For describing a fluctuation The number fluctuated between ... fluctuation The number fluctuated between and The number fluctuated wildly around and Some words for describing “approximately” About/around/approximately/well over/roughly ...

Ngày tải lên: 04/10/2012, 09:39

... and the roles of writing, approaches to teaching writing, stages of teaching writing, principles for teaching writing, microskills for writing and writing activities Besides, in the part of material ... Principles for Teaching Writing According to Forseth et al (cited in Khuong, 2006), there are 10 principles for teaching writing: Writing should be considered as a means to communicate meaning ... towards learning writing skill Table 3.4: Benefits That Writing Activities Bring to Students Expected benefits Making the writing tasks easier to carry out Helping student have interest in learning...

Ngày tải lên: 20/12/2013, 18:33

... A-level) examinations Physics and Mathematics are the essential subjects required for admission for engineering training 1.1.5 Enrollment by Gender for Science and Engineering training in other countries ... type of e -learning in the preceding section is termed as blended e -learning Blending occurs when the traditional face-to-face meeting in classrooms is combined with training materials being posted ... lower in tertiary institutions, which includes universities e situation is particularly bad in technology and engineering courses 19 1.1.3 Enrollment by Gender for Engineering Training in Uganda...

Ngày tải lên: 16/01/2014, 16:33

... inspired by Duh et al (2010) who applied multi -task learning for improved generalization in n-best reranking In contrast to our work, Duh et al (2010) did not incorporate multitask learning into ... Online large-margin training for statistical machine translation In Proceedings of the 2007 Joint Conference on Empirical Mehtods in Natural Language Processing and Computational Language Learning ... sub-GrAdient SOlver for SVM In Proceedings of the 24th International Conference on Machine Learning (ICML’07), Corvallis, OR Libin Shen and Aravind K Joshi 2005 Ranking and reranking with perceptron...

Ngày tải lên: 19/02/2014, 19:20

... in Figure does not generate every pair of bunsetsus.3 Active Learning for Parsing Most of the methods of active learning for parsing in previous work use selection of sentences that seem to contribute ... sentences that appear in the training corpus Since it gets harder for the readers to reproduce the same experimental setting, we We show a sample set of generated examples for training the classifier ... of active learning, since the selection strategy with large margin classifiers (Section 2.2) is much simpler and seems more practical for active learning in Japanese dependency parsing with smaller...

Ngày tải lên: 20/02/2014, 04:20

... using the WSJ corpus scenario This protocol favors examples which are good for all learning algorithms Examples that are highly informative for one task but rather uninformative for another task ... goal of multitask AL is to minimize the annotation effort over all annotation tasks and not just the effort for a single annotation task For a multi -task AL protocol to be valuable in a specific ... learning for named entity recognition In Proceedings of ACL’04, pages 589–596 Min Tang, Xiaoqiang Luo, and Salim Roukos 2001 Active learning for statistical natural language parsing In Proceedings...

Ngày tải lên: 20/02/2014, 09:20

... Reinforcement Learning: An Introduction MIT Press, Cambridge, MA, USA Menno van Zaanen 2000 Bootstrapping syntax and recursion using alginment-based learning In Proceedings of the Seventeenth International ... realisation using HRL We suggested to inform an HRL agent’s learning process by an HMM-based reward function, which was induced For training, the step-size parameter α (one for each SMDP) , which indicates ... selection also involves choosing a level of detail for the instruction corresponding to the user’s information need We evaluate the learnt content selection decisions in terms of task success For surface...

Ngày tải lên: 07/03/2014, 22:20

... described above Spring water and cucumber were supplied for cleansing palates between samples All the panels performed the tests in the sensory laboratory No more information concerning the products ... by a panel using descriptive sensory profiling as described in ISO 6564:1985 The sensory panel consisted of panelists selected and trained according to guidelines in ISO 8586-1:1993 and the laboratory ... were served for each assessor for tasting at x x cm sized in covered glass containers at 20°C Methods Descriptive analysis This test aimed at pointing out the essential vocabulary needed for cheese...

Ngày tải lên: 20/03/2014, 19:20

... transfer learning and domain adaptation for named entity recognition Dredze and Crammer (2008) proposed an online method for multi-domain learning and adaptation Multi -task learning is another learning ... Data Mining, pages 109– 117 Jing Jiang and ChengXiang Zhai 2007a Instance weighting for domain adaptation in nlp In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, ... problems in other domains, for example, the protein-protein interaction extraction problem in biomedical text mining References Rie Kubota Ando and Tong Zhang 2005 A framework for learning predictive...

Ngày tải lên: 23/03/2014, 16:21

... addressed in section 10.3 In this study we develop a learning model based around the concept of iteratively predicting labels for unlabelled training samples, the basic paradigm for both co-training ... learned A Probabilistic Model for Training Data Acquisition In this section, we derive a simple probabilistic model for acquiring training data for a given learning task, and use it to motivate our ... selftraining for improving parse reranking Other relevant recent work includes (Zhang, 2004), in which random feature projection and a committee of SVM classifiers is used in a hybrid co/self-training...

Ngày tải lên: 23/03/2014, 18:20

... were included in the training dialogues Table indicates the training size and performance calculated by F-measure This illustrates that the performance improves as the training size increases in ... decision-tree learning research to itself 3.3 Training Attributes The training attributes that we prepared for Japanese ellipsis resolution are listed in Table The training attributes in the table ... approach the similar value, in particular for those in large training samples (lsg) and (2sg) Greater performance improvement is expected by conducting more training in (2pl) and (g) We 4.2 Topic...

Ngày tải lên: 23/03/2014, 19:20

... user study involving a POS annotation task In the study, timing information was gathered from many subjects who annotated both sentences and individual words This study included tests in which ... Dagan 1996 Minimizing manual annotation cost in supervised training from corpora In Proc of ACL, pages 319–326 R Hwa 2004 Sample selection for statistical parsing Computational Linguistics, 30:253–276 ... random baseline is estimated by interpolation between neighboring points on the baseline Using hourly cost, Figure shows the cost reduction curves of several AL algorithms, including those already...

Ngày tải lên: 31/03/2014, 00:20

... operators and industries need efficient radio engineering tools to model the electromagnetic propagation in tunnels for radio planning and network tuning In this article, we propose an original method ... really interesting from an operational point of view in order to perform easily radio planning in the tunnel This approach provides a first validation of our method The next 13 step will be to perform ... next 13 step will be to perform further analysis in terms of slow and fast fadings in order to margin gains for radio deployment for a system point of view to reach targeted BER and to tune the...

Ngày tải lên: 18/06/2014, 22:20