Robot Learning potx

... building an intelligent robot that can successfully perform assigned tasks. Fig. 3. Conceptual framework of components for intelligent robot design. Robot Learning using Learning Classifier ... largely theoretical. 5.3 Interactive classifier system for real robot learning Reinforcement learning has been applied to robot learning in a real environment (Uchibe et al...

Ngày tải lên: 27/06/2014, 06:20

... Technologies, and Learning This White Paper is Proprietary to Intrepid Learning Solutions About Intrepid Learning Solutions Intrepid Learning Solutions is a leading provider of learning and performance ... Performance, Technologies, and Learning This White Paper is Proprietary to Intrepid Learning Solutions Next Steps for Learning Leaders: Implement Learning 2.0 for Sales 2...

Ngày tải lên: 07/03/2014, 14:20

... 15. Blum A. and Chawla S. 2001. Learning from Labeled and Unlabeled Data Using Graph Mincuts. In Pro- ceedings of the 18th International Conference on Ma- chine Learning. Blum A., Lafferty J., ... Rwebangira R. and Reddy R. 2004. Semi-Supervised Learning Using Randomized Min- cuts. In Proceedings of the 21th International Confer- ence on Machine Learning Brin Sergey. 1998. Extracting...

Ngày tải lên: 08/03/2014, 02:21

... difficult than learning syntax alone. In for- mal grammar learning theory it has been shown that learning from “good examples,” or representative examples, is more powerful than learning from ... Language Learning Smaranda Muresan Institute for Advanced Computer Studies University of Maryland College Park, MD 20742, USA smara@umiacs.umd.edu Owen Rambow Center for Computational Learn...

Ngày tải lên: 08/03/2014, 02:21

... POS-tagged using Ratnaparkhi’s maximum enthropy tagger. The training phase of the method consists in learning which transformations need to be applied to the output of a parser to make it as similar ... from phrase structures to dependency graphs and the extraction of some linguistic features for the learning, our method does not use any information about the details of the tree- bank anno...

Ngày tải lên: 08/03/2014, 04:22

... Joachims. 1999. Making large-scale SVM learning prac- tical. In B. Sch¨olkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. Junichi Kazama and Kentaro ... Wayne Ward, James H. Martin, and Daniel Jurafsky. 2005. Sup- port vector learning for semantic argument classification. Machine Learning Journal. Libin Shen, Anoop Sarkar, and Aravind Joshi....

Ngày tải lên: 08/03/2014, 21:20

... with machine learning algorithms that perform classification, clustering and pattern induction tasks. • Having a good annotation scheme and accurate annotations are critical for machine learning ... you start for designing the features that go into your learning algorithm. The better the features, the better the performance of the machine learning algorithm! Preparing a corpus with an...

Ngày tải lên: 15/03/2014, 16:20

... 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 (Lewis ... fraction of our initial dataset. As far as the learning method is concerned, a paired t-test shows that models trained on 20 and 40 utterances using active learning significantly outp...

Ngày tải lên: 17/03/2014, 00:20

... TotalRecall: A Bilingual Concordance for Computer Assisted Translation and Language Learning Jian-Cheng Wu , Kevin C. Yeh Department of Computer Science National Tsing Hua University ... we describe a bilingual concordance designed as a computer assisted translation and language learning tool. Currently, TotalRecall uses Sinorama Magazine corpus as the translation memory

Ngày tải lên: 17/03/2014, 06:20