Machine Learning Projects for - Mathias Brandewinder

Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt

... on one group of MT systems evaluate the translation qualities of new systems? In this paper, we argue for the viability of a regression-based framework for sentence-level MTevaluation Through ... and Chris Brockett 2001 A machine learning approach to the automatic evaluation of machine translation In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, ... Koehn 2006 Re-evaluating the role of BLEU in machine translation research In The Proceedings of the Thirteenth Conference of the European Chapter of the Association for Computational Linguistics...

Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classiﬁcation" pot

... Dependencies in Sentiment Classification Experimental Setup In this section, we describe experiments we have carried out to determine the in uence of domain, topic and time on machine learning based sentiment ... negative sentiment (selected by independent trained annotators), each containing 100 stories We trained a model on a dataset relating to one topic and tested that model using the other topics Figure ... Domain dependency in sentiment classification Figure 1: Topic dependency in sentiment classification Ac- Accuracies, in percent Best performance on a test set for each model is highlighted in bold...

Báo cáo khoa học: "A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity" pdf

... '98), March 1998 M E Califf and R J Mooney 2004 Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction Journal of Machine Learning Research, MIT Press W Drozdzynski, H.-U.Krieger, ... we use PI for Person_In, PO for Person_Out, POS for Position and ORG for Organisation In our experiments, we attempt to investigate the influence of the size of the seed and the size of the test ... or Person_Out The ambitious goal of our approach is to provide a general framework for the extraction of relations and events with various complexity Within this framework, the IE system learns...

A novel supervised machine learning algorithm for intrusion detection k Prototype+ID3

... 1.0, replicates a 3.5 hour attack scenario in which a trainee attacker starts a Distributed Denial of Service (DDOS) attack against a raw adversary The second data set, LLS DDOS 2.0.2, is a two hour ... 0.2 K- Means ID3 K- Means ID3 K- Means+ID3 K- Means+ID3 Fig Performance of K- Means, ID3, K- Means+ID3, and the KPrototype+ID3 over the NAD 1998 test data set Fig Performance of K- Means, ID3, K- Means+ID3, ... description of each sub data set of NAD The data set is extracted from MIT-DARPA network traffic, each data sub set contain artificial neural network-based nonlinear component analysis feature-extracted...

Báo cáo hóa học: " Research Article A Machine Learning Approach for Locating Acoustic Emission" pdf

... note that the SVMs trained with 256dimensional raw AE data had quite poor performance, where the AUC was 0.39 and 0.31 for datasets SR1 and SR2 We also examined the performance of a combination ... variance (a) (b) Figure 10: The training classification performance of different feature sets on the dataset SR1 (a) and SR2 (b) The best performance was obtained with WP approach The performance ... that the classifier can generalize similar specimens This may provide great advantage in the deployment of the system in real-life applications After calculating the arrival information for each...

Machine learning methods for pattern analysis and clustering

... 134 Summary and Future Work Bibliography Machine Learning Methods for Pattern Analysis 137 A Ji He Machine Learning Methods for Pattern Analysis and Clustering Ji He, 2004 National ... 4.3 Machine Learning Methods for Pattern Analysis Ji He Machine Learning Methods for Pattern Analysis and Clustering Ji He, 2004 National University of Singapore CHAPTER INTRODUCTION 1.1 Pattern ... summarizes the thesis contents and proposes future work Machine Learning Methods for Pattern Analysis Ji He Machine Learning Methods for Pattern Analysis and Clustering Ji He, 2004 National...

Development and interpretation of machine learning models for drug discovery

... concerned with the development and interpretation of machine learning models for drug discovery To this end, it describes the design and application of computational models for specialized use ... focus of this thesis is the development and interpretation of machine learning models for pharmaceutical tasks In drug discovery, project teams usually consist of experts from a variety of disciplines, ... some basic concepts of in silico modeling for drug discovery Concepts Machine learning models for drug discovery mostly try to model the structure-activity relationship of ligand-target interactions...

Tài liệu Báo cáo khoa học: "Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches" pptx

... only original sentences are parsed, and the parse trees of compressed sentences are extracted from the original parse trees An example of this method is shown in Figure The original sentence is ... goal sentence length for summaries In the ﬁrst experiment, the system was given only a sentence and no sentence length information The sentence compression problem without the length information ... Noisy-Channel Model for Sentence Compression B D Knight and Marcu proposed a sentence compression method using a noisy-channel model (Knight and Marcu, 2000) This model assumes that a long sentence was...

Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classiﬁcation to Global Ranking" ppt

... A Ranking Approach to Coreference ¡ As mentioned before, our approach differs from the standard approach primarily by (1) explicitly learning a ranker and (2) optimizing for clustering-level ... learning approach, outperforming them by as much as 4–7% on the three data sets for one of the performance metrics 3.1 Selecting Coreference Systems A learning- based coreference system can be ... trees for coreference resolution In Proc of the IJCAI, pages 1050–1055 T Morton 2000 Coreference for NLP applications In Proc of the ACL C M¨ uller, S Rapp, and M Strube 2002 Applying cotraining to...

Báo cáo khoa học: "Using Machine-Learning to Assign Function Labels to Parser Output for Spanish" ppt

... learning to perform various graph transformations One of the transformations is node relabelling, which adds function tags to parser output They report an fscore of 88.5% for the task of function ... 3.2 Adding Function Tags to Parser Output 4.1 The solution we adopt instead is to add Cast3LB functional tags to simple constituent trees output by the parser, as a postprocessing step For English, ... typically absent in output generated by probabilistic parsers In order to solve this difﬁculty, O’Donovan et al (2005) train Bikel’s parser to output complex category -function labels A complex label...

Natural Language Annotation for Machine Learning potx

... Natural Language Annotation for Machine Learning James Pustejovsky and Amber Stubbs Beijing • Cambridge • Farnham • Köln • Sebastopol • Tokyo www.it-ebooks.info Natural Language Annotation for ... (NLP) In particular, we examine how information can be added to natural language text through annotation in order to increase the performance of machine learning algorithms—computer programs ... to extrapolate rules from the information provided over texts in order to apply those rules to unannotated texts later on Natural Language Annotation for Machine Learning More specifically, this...

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Báo cáo khoa học: "Feasibility Study for Ellipsis Resolution in Dialogues by Machine-Learning Technique" docx

... 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 ... test dialogues (1685 subject ellipses), and none were included in the training dialogues Table indicates the training size and performance calculated by F-measure This illustrates that the performance ... each ellipsis type seems to 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...

Báo cáo khoa học: "Using Machine Learning Techniques to Build a Comma Checker for Basque" pdf

... linguistic information on the comma for the Basque language was formalised This information was extracted after analysing the theories of some experts in Basque syntax and punctuation (Aldezabal et al., ... the same time, for each token, we stored whether it was followed by a comma or not That is, for each word (token), it was stored whether a comma was placed next to it or not Therefore, each token ... by a comma In table 6, we can see the obtained results One to one means that in that case, the training corpus had one instance not followed by a comma, for each instance followed by a comma Adding...

bayesian methods for machine learning

... Other non-parametric Bayesian models Further Topics [15 minutes] o o Bayesian Semi-supervised Learning o Bayesian Active Learning and Bayesian Decision Theory Reconciling Bayesian and Frequentist ... summer schools He is interested in Bayesian machine learning, computational approaches to sensorimotor control, and applications of machine learning to bioinformatics Zoubin Ghahramani Gatsby ... Bayesian Discriminative Modelling [20 minutes] o o Bayes Point Machines vs Support Vector Machines o Myth: Bayesian methods = Generative models Bayesian Neural Networks From Parametric to Nonparametric...

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