Bayesian approach to support vector machines

... selection for support vector machines The contributions of this work are two-fold: for classical support vector machines, we follow the standard Bayesian approach using the new loss function to implement ... F Noise Generator 160 G Trigonometric Support Vector Classifier 161 vi Summary In this thesis, we develop Bayesian support vector machines for regression and c...

Ngày tải lên: 12/09/2015, 09:03

... h b ` `9' h )' R ` Ơ 6ƠHD#@#Vq kFsvHIPH&H&@3F9 pn#ƠHbq 400 500 600 700 Number of Support Vectors 800 900 1000 X 300 0.5 0 0.5 1.5 2.5 3.5 Number of Samples 4.5 x 10 41 Time (hours) ... hE F9 0 300 0.5 1.5 2.5 3.5 Number of Samples x 10 4 4.5 0.5 400 Time (hours) Number of Support Vectors 1.5 2.5 3.5 500 600 700 800 900 4.5 1000 G 9' ) & ) b X & G RrAA )1 RA y 15 A5' B X ... &)A)' B...

Ngày tải lên: 24/04/2014, 12:33

Ngày tải lên: 01/03/2013, 17:01

... into Bayesian methods for other natural language learning tasks References M Banko and R Moore 2004 A study of unsupervised partof-speech tagging In Proceedings of COLING ’04 E Brill 1995 Unsupervised ... values of the latent variables are then taken to ˆ be those that maximize P (t|w, θ) In contrast, the Bayesian approach we advocate in this paper seeks to identify a distributi...

Ngày tải lên: 20/02/2014, 12:20

... Nenkova and R Passonneau 2004 Evaluating content selection in summarization: The pyramid method In Proc HLT/NAACL 2004, Boston, USA A Nenkova and L Vanderwende 2005 The impact of frequency on summarization ... III and Daniel Marcu 2005 Bayesian summarizae tion at DUC and a suggestion for extrinsic evaluation In Proc DUC-2005, Vancouver, Canada S Fisher and B Roark 2006 Que...

Ngày tải lên: 20/02/2014, 12:20

... Reading Level Assessment This section highlights examples and features of some commonly used measures of reading level and discusses current research on the topic of reading level assessment using ... syntactic and semantic analysis Statistical language models (LMs) are used successfully in this way in other areas of NLP such as speech recognition and machine translati...

Ngày tải lên: 20/02/2014, 15:20

... computed for support vectors only, which makes it affordable for small numbers of support vectors Additionally, parts of the calculation such as the dot products xh.xk between support vectors ... criterion is computed with information about a single feature III Feature ranking with Support Vector Machines III.1 Support Vector Machines (SVM) To test the idea of using th...

Ngày tải lên: 06/03/2014, 00:22

... learned sub-word models to guide its hypotheses on phone boundaries Bayesian Model for Segmentation Our model is inspired by previous applications of nonparametric Bayesian models to segmentation ... used to represent 41 acoustic units Instead of discovering repetitive patterns first, our model is able to learn from any given data Unsupervised Speech Segmentation One goal...

Ngày tải lên: 07/03/2014, 18:20

... ề ẵ ĩà ôí ẳ Active Learning for Support Vector Machines 3.1 General Framework of Active Learning We use pool-based active learning (Lewis and Gale, 1994) SVMs are used here instead of probabilistic ... 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 p...

Ngày tải lên: 17/03/2014, 08:20

... corresponds to a semantic role If an argument key k is assigned to a role r (k ∈ r), all of its occurrences are labeled r Our Bayesian model encodes two common assumptions about semantic roles First, ... of tables to restaurant customers Assume a restaurant with a sequence of tables, and customers who walk into the restaurant one at a time and choose a table to join The first...

Ngày tải lên: 17/03/2014, 22:20

... errors of data-driven dependency parsing models In EMNLP-CoNLL Ryan McDonald, Koby Crammer, and Fernando Pereira 2005 Online large-margin training of dependency parsers In ACL Igor A Me´cuk 1987 Dependency ... Conclusion We have presented a novel use of latent SVM technology to train a number of filters jointly, with a shared dynamic threshold By training a family of d...

Ngày tải lên: 23/03/2014, 16:20

... shows the cognate creation algorithm in detail Input: C1, a list of English-German cognate pairs {L1,L2}; C2, a test file of cognates in L1 Output: AL, a list of artificially constructed cognates ... interesting spin-off was analysed by Kondrak (2004), who first highlighted the importance of genetic cognates by comparing the phonetic similarity of lexemes with the semantic simi...

Ngày tải lên: 31/03/2014, 01:20

... 0.65 VC Bound : Actual Risk * 100 Actual Risk : SV Bound : VC Bound 0.7 0.5 0.4 0.3 0.2 0.1 0.6 0.55 0.5 0.45 0.4 0.35 ÙƯ ½ º Ì 100 200 300 400 500 600 700 800 900 1000 Sigma Squared Ỵ ĨÙỊ Ị ƠƯ ... Ý ´× Ị´«Üµµ¸ ×Ơ Ø Ị¬Ị Ø Ỵ Đ Ị× ĨỊº Ý ÅỊĐÞỊ 1.4 VC Confidence 1.2 0.8 0.6 0.4 0.2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 h / l = VC Dimension / Sample Size ÙƯ ¿º Ỵ ĨỊ¬ Ị × ĐĨỊĨØĨỊ Ị ÙƯ ¿ × ĨÛ× ĨÛ ... 1...

Ngày tải lên: 24/04/2014, 12:25

... in Section Support Vector Machines for Pattern Recognition 2.1 Basic Theory of Support Vector Machines For a two-class classification problem, the goal is to separate the two classes by a function ... Freund, and F girosi Training support vector machines: an application to face detection Proc CVPR, 1997 [10] M Pontil and A Verri Support vector machines for 3-d obj...

Ngày tải lên: 24/04/2014, 12:36

... the set of Lagrange multipliers of the training (calibration) patterns with li ! 0, and P in LP indicates the primal 312 Applications of Support Vector Machines in Chemistry formulation of the ... Interesting results are also obtained with the spline kernel (Figure 11a) and the degree B spline kernel (Figure 11b) The spline kernel offers an 300 Applications of Suppo...

Ngày tải lên: 02/06/2014, 09:46