model context and memory in edit distance learning
Báo cáo khoa học: "A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification" ppt
... for the automatic learning of edit costs, such as in (Ristad and Yianilos, 1998) in the case of string edit distance and in (Neuhaus and Bunke, 2004) for graph edit distance. In this paper we ... results using DBN basedmodels. The basic MCI model does marginally bet-ter than the Levenshtein edit distance. This is con-sistent with the finding in RY: their gains come fromthe joint learning ... Engineering and Electrical EngineeringUniversity of WashingtonSeattle, WA 98195, USA{karim@cs,bilmes@ee}.washington.eduAbstractSitting at the intersection between statis-tics and machine learning, ...
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Báo cáo khoa học: "SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking" pdf
... to investigate the re-sulting classification model in order to understandits inner working, strengths and weaknesses. We in- troduce two SVM-based methods – Model Tamper-ing and Anchored Learning ... therefore, interested in identifying errors in thechunking corpus, and investigating how the chunkeroperates in the presence of noise in the PoS tag se-quence.3 Model Tampering3.1 Notation and ... for testing, and the rest for training.The corpus contains 27K NP chunks. For the En-glish experiments, we use the now-standard training and test sets that were introduced in (Marcus and Ramshaw,...
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The Duality of Memory and Communication in the Implementation of a Multiprocessor Operating System
... speech understanding system called Agora [3]. This work is being doneon Mach and currently makes use both of Mach memory sharing and message passing.Both communication and memory sharing are used ... storage, it uses Unix inodes and the Unix buffer pool.Future plans include eliminating use of the buffer pool, and instead allowing that memory to be used forthe global virtual memory cache.• User ... objects are invoked through message passing. Mach runs on the majority of workstations and mainframes within the Department of Computer Science, and supports projects in distributed computing and parallelprocessing...
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Organizing pairwork and groupwork in the context of high school classrooms at pham van nghi upper secondary school, nam dinh province: A case study
... grammar, reading, writing, vocabulary and listening ; 5 for teaching grammar, 5 for teaching reading, 4 for teaching writing, and only 1 for teaching vocabulary, and 2 for teaching listening. Each ... materials available for teachers and students in teaching and learning English In PVN school, English teaching and learning activities are mostly carried out inside the classrooms which are ... pairwork and groupwork activities in a class was 30 minutes and the minimum time amount was 10 minutes. And the average time amount for pair and group work in a class with in this school was 20 minutes....
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Tài liệu Visuospatial Memory in Healthy Elderly, AD and MCI: A Review doc
... egocentric and allocentric spatial processing after parietal brain lesions. Brain Cogn; in press; DOI: 10.1016/j.bandc.2008.11.001. [66] Tulving E. Episodic and semantic memory. In: Tulving E and ... differences in memory. In: Klix F and Hagendorf H, Eds. Human memory and cognitive capabilities. North-Holland, Amsterdam, pp. 409-422 (1986). [76] Light LL. Memory and aging: four hypotheses in search ... Self and external locations and between locations in space can be defined in terms of distances, directions and relative positions, and are Visuospatial Memory in Healthy Elderly, AD and MCI...
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Tài liệu Distance learning in academic health education: A literature review pdf
... of distance learning applications in academic health educationundergraduate distance learning 1. in- curriculum distance learning 2. extracurricular distance learning postgraduate distance learning ... realpotential of distance learning in health education,especially in comparison with traditional teachingmethods, remains to be proven.Conclusions Distance learning is becoming increasingly apparentas ... be recorded and serve as a basis forassessment purposes or the planning of learning strat-egies (3). We are in the very beginning of this phase in academic learning, and research in the field...
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Tài liệu Báo cáo khoa học: "Applications of GPC Rules and Character Structures in Games for Learning Chinese Characters" doc
... hints to link the meanings and writings of Chinese characters. For instance, “河”(he2, river) [Note: Chinese char-acters will be followed by their pronunciations, denoted in Hanyu pinyin, and, ... of L1 and ortho-graphic regularity and consistency in naming Chinese char-acters. Reading and Writing. C L. Liu, M H. Lai, K W. Tien, Y H. Chuang, S H. Wu, and C Y. Lee. 2011. Visually and ... O. J L. Tzeng, and D L. Hung. 2005. Consistency, regularity, and frequency effects in naming Chinese characters, Language and Linguistics, 6(1), 75–107. C H. Lin and P. Collins. 2012. The...
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Tài liệu Báo cáo khoa học: "Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies" docx
... baseline algorithm.3.2 Maximum Entropy RankingWe view the problem as an instance of statisti-cal ranking, a general machine learning paradigmused for example in statistical parsing (Collins,2000) ... Colloquium.M. Collins. 2000. Discriminative reranking for nat-ural language parsing. In Proc. 17th Interna-tional Conf. on Machine Learning, pages 175–182.J. N. Darroch and D. Ratcliff. 1972. ... meetings and selected 80% of the pairs for training. To trainthe maximum entropy ranking model, we used thegeneralized iterative scaling algorithm (Darroch and Ratcliff, 1972) as implemented in...
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COST ACTION E36 Modelling and simulation in pulp and paper industry Proceedings of Model Validation Workshop pot
... E36 Modelling and simulation in pulp and paper industry Proceedings of Model Validation Workshop Espoo, Finland, 6 October, 2005 Edited by Johannes Kappen, PTS, Germany Jussi Manninen, ... realistic to include uncertainties in model structures. In general, it is di¢ cult to des cribe uncertainties in the model structure.Parametric uncertainties can either be deterministic in that they ... simulation is currently used in the paper industry mainly in the area of operator training and in the optimization of dynamic process changes such as grade changes or the handling of web breaks. Currently...
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Báo cáo khoa học: "Disjunctions and Inheritance in the Context Feature Structure System" doc
... The algorithm is extended in the following way: 4a. if e is an input context of t and d is a disjunc- tion specializing e and the subcontexts are also input contexts, and if all but one specialization ... describing con- stituents, and which can do steps in a certain se- quence, while unification in principle is sequence- invariant. We think that recursion is not in princi- ple impossible in spite ... and instances disjunctions might be replaced by in- heritance. 3 Contexts and Inheritance This chapter introduces the syntax and semantics of CFS feature terms, defines contexts, and investigates...
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African American Midwifery in the South Dialogues of Birth, Race, and Memory pptx
... historian to give in to feelings about the data. I am goingwith the flow of that disciplinary liberty in pointing to the ways in whichcontemporary Virginia nurses and physicians writing at the state ... of ordering that world in theface of the dramatic transitions that were under way.Remembering and ForgettingI am drawn to the nature of remembering and forgetting in the histories and cultures ... myquestions. How and under what circumstances did African Americanwomen lose their foothold in birthing babies and attending pregnant and laboring mothers in their communities? In always asking why the...
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Báo cáo khoa học: "Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning" pot
... hand-craftedrules and a machine learning method. The chunktype of a word in question is determined by the rules, and then verified by the machine learning method.The role of the machine learning method ... machine learning algorithms.The machine learning algorithms tested are (i) memory- based learning (MBL), (ii) decision tree, and (iii) support vector machines (SVM). We useC4.5 release 8 (Quinlan, ... machines, and 2.83 over memory- based learning. In addition, this result is as high asthe performance on English (Zhang et. al, 2001).Text Chunking by Combining Hand-Crafted Rules and Memory- Based Learning Seong-Bae...
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Báo cáo "Applying probabilistic model for ranking Webs in multi-context " doc
... Richardson, P. Domingos, The intelligent surfer: Probabilistic combination of link and content information in PageRank, In Proceedings of Advances in Neural Information Processing Systems 14, Cambridge, ... [15] and has one chapter to present this problem. The techniques are presented in this book have been developed within the fields of information retrieval and machine learning and include indexing, ... is increasingly recognized that the topology and evolution of real networks aregoverned by robust organizing principles. The basic knowledge of random graphs can find in [7].Based on model random...
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- culture and ethics in international business
- a structure found in numerous proteases and implicated in protein binding
- rewritten and edited in english as appeared in this workbook some experiments ar
- multimedia technology and distance learning using mobile
- english learning materials and documents in english
- data and program memory in 8051
- program and data memory in microprocessor
- program memory and data memory in embedded systems
- difference between program and data memory in 8051
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