ml map estimation using gradient based optimization

... The simulation model interacts with an optimization engine with the purpose of determining the crashing configuration with the minimum average total cost The optimization engine used in this step ... Example Predecessors 13 14 Figure 2: Project network used for example (based on Haga 1998) 2373 a 10 12 14 12 10 18 10 15 ml 20 14 18 18 20 12 25 20 20 12 b 30 16 22 30 30 16 32 30 25 18 Crash ... 0 2 2 0 2 0 10 0 Table 4: Minimum (a), most likely (ml) , and maximum (b) duration and crashing cost for each activity Crash Cost Activity a ml b A1 10 12 A2 10 14 A3 10 A4 10 15 20 A5 12 17 22...

Ngày tải lên: 29/03/2014, 23:20

... EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION USING NEURAL -BASED ESTIMATION OF DISTRIBUTION ALGORITHMS SHIM VUI ANN B.Eng (Hons., 1st Class), UTM ... Preference -based Framework 2.1.2 Domination -based Framework 2.1.3 Decomposition -based Framework 2.2 Multi-objective Estimation ... Sizing on Optimization Performance 3.6.4 Effects of Clustering on Optimization Performance 3.6.5 Effects of Network Stability on Optimization Performance 3.6.6 Effects of Learning Rate on Optimization...

Ngày tải lên: 09/09/2015, 10:07

... the system is developed using an optimization framework based on PSO Particle Swarm Optimization PSO is a stochastic optimization technique which was introduced recently based on the social behaviour ... algorithm Our method is built on adapting the PSO optimization approach as a search process to automate the procedure of cost estimation Automatic Cost Optimization for TED In this section we proposed ... particles based on the application and data The choice of this function is very crucial since, based on this, PSO evaluates the quality of each candidate particle for driving the solution space to optimization...

Ngày tải lên: 23/03/2014, 17:20

... Figure 2.1 Event -based sampling scheme 2.3 State estimation using event -based sampling The following assumptions are made on the data transmission over networks (Fig.1.3) using even -based sampling: ... 13 2.3 State estimation using event -based sampling 14 2.4 Estimation performance analysis 16 2.5 Estimation performance of ... Ethernet -based (stochastic), tokenpassing (bounded), and CAN -based (constant) The three types of control networks commonly implemented in industry are Ethernet based, token-passing, and CAN-based...

Ngày tải lên: 13/11/2014, 05:59

... bootstrap-corrected estimation to improve the plug-in estimation in the optimal return estimation But compared with the plug-in estimation, the performance of the bootstrapcorrected estimation is not ... limiting behavior of spectral-corrected I and II estimations 85 4.5.1 Spectral-Corrected I estimation 85 4.5.2 Spectral-Corrected II estimation 102 Chapter Conclusions ... Plug-In Estimation 21 3.2 Bootstrap-Corrected Estimation 25 3.3 Spectral-Corrected I Estimators 30 3.3.1 Eigenvalue estimation...

Ngày tải lên: 10/09/2015, 09:10

... four categories: utilization -based objectives, flow -based objectives, due-date -based objectives, and inventory -based objectives Makespan corresponds to the utilization -based objective, which is ... their nest and a food source This optimization mechanism is realized through simple interaction rules among ants and modeled as an algorithm titled Ant Colony Optimization (ACO), which is promising ... ACO ant colony optimization ACS ant colony system AC2 ant colony control Ai accessible operation list ANTS approximate non-deterministic tree search AS ant system AS rank the rank -based AS B the...

Ngày tải lên: 13/09/2015, 20:40

... Mitchell Marcus 1995 Text chunking using transformation -based learning In Proc of the third workshop on very large corpora, pages 82–94 Dan Shen and Mirella Lapata 2007 Using semantic roles to improve ... as candidates of predicates or arguments In our experiments, we mapped each BP to an argument candidate node of graphs We also mapped each predicate to a predicate node Each predicate-argument ... Transformation -based error-driven parsing In Proc of the Third International Workshop on Parsing Technologies Time Loc 51.5 38.0 59.6 1.7 55.8 37.4 Eric Brill 1995 Transformation -based error-driven...

Ngày tải lên: 20/02/2014, 04:20

... pronoun resolution systems on the same data set Web -based feature vs Corpus -based feature The third column of the table lists the results using the web -based compatibility feature for neutral pronouns ... corpus -based semantic feature However, the increase is not as large as using the web -based feature: Under the two learning models, the success rate of the best system with the corpus -based feature ... the utility of the statistics -based semantic feature is more salient under TC than under SC for N-Pron resolution: the best gains using the corpus -based and the web -based semantic features under...

Ngày tải lên: 20/02/2014, 15:20

... Sag 1987 Information -Based Syntax and Semantics VoI.1 CSLI Lecture Notes 13 Stanford: CSLI Shieber, S 1985 "Using Restriction to Extend Parsing Algorithms for ComplexFeature -Based Formalisms" 23rd ... u r e - B a s e d Categories: A Preliminary Modification Fig.3 is an example production using feature -based syntactic categories The notations are adapted from Pollard and Sag (1987) and Shieber ... table used in the above example can be constructed using the procedures given in Fig.2 (adapted flom Aho and Uliman (1987)) The procedure CLOSURE coml~utes all items in each state, and the procedure...

Ngày tải lên: 22/02/2014, 10:20

... this large population -based cohort study, we assessed individual air pollution exposure at the home address using advanced state-of-theart methods By using a combination of GIS based dispersion modelling ... working days and weekend days Hence, the contribution of traffic was scaled using an average hourly traffic intensity pattern (based on traffic counts), thereby deriving hourly intensities We also ... of annual average PM10 and NO2 concentrations, using a combination of the three Dutch standard methods The performance of this modelling procedure based on (a combination of) the three standard...

Ngày tải lên: 06/03/2014, 19:20

... different labels in the treebank We then learned a mapping from the parser’s labels to those in the dependency corpus, using TiMBL, a memory -based classifier (Daelemans et al., 2003) The features ... its head, dependent, and label are correct For traces, this corresponds to the evaluation using the head -based antecedent representation described in (Johnson, 2002), and for empty nodes without ... Hence, for most cases, traces and empty nodes can be reliably identified using only local information provided by a parser, using the parser itself as a black box This is important, since making...

Ngày tải lên: 08/03/2014, 04:22

... this discrimination is not amenable to a corpus -based treatment In recent work, however, we succeed in distinguishing arguments from adjuncts using evidence extracted from a parsed corpus (Merlo ... that can be approximated statistically and estimated using corpus counts, thus combining linguistic insight with the robustness of corpus -based methods The Linguistic Diagnostics Many diagnostics ... corpus counts Experiments The success and generality of corpus -based classifier induction rests in large part on the accurate 253 estimation of the feature vectors used for training We explain...

Ngày tải lên: 08/03/2014, 21:20

... pronunciations are aligned using standard string alignment algorithm based on Kruskal (1999) The substitution/insertion/deletion cost for the string alignment algorithm is based on the baseline cost ... were extracted using the named-entity recognizer described in Li et al (2004), based on the SNoW machine learning toolkit (Carlson et al., 1999) The transliteration task was performed using the following ... determined based on the distinctive features and pseudo features, based on the pure linguistic knowledge without training data As illustrated in Table 7, the phonetic transliteration method using...

Ngày tải lên: 17/03/2014, 04:20

... 61.00 Comparison with Word Based Chunking As to ensure that character based chunking is better than word based chunking, we have carried out an experiment with word based chunking as well The ... chunking as well The results showed that character based chunking yields better results than word based chunking The f-measure ( word based vs character based ) for person name extraction is (81.28 ... detection Our method is based on an morphological analysis that generates segmentations and POS tags using Markov Models, followed by a chunking based on character features using Support Vector...

Ngày tải lên: 17/03/2014, 06:20

... p e n d e n t knowledge (e.g mathematical knowledge) I have developed a reasoner based on the theory of model -based reasoning (cf Simmons and Davis [18], Fink and Lusth [6], Davis and Hamscher ... al -+ anynuml a0)) Acknowledgments I would like to thank Prof Manfred Krifka and Prof Benjamin Kuipers for their useful comments The prototype of the reasoner was originally built using Algernon ... calculations of the number of objects from what we know about the reading (cf.2.2.2) 2.2 Model -Based Reasoner Unification fails only when the first and second operations succeed and the third...

Ngày tải lên: 17/03/2014, 08:20

... was performed using masslynx, version 4.1 (Waters Corp.) Elemental composition was performed using a mass tolerance of 10 p.p.m and was sorted by i-FIT score assigned by masslynx based on the ... to characterize the precise structures of many of these observed carbohydrates using the established proteomics -based approaches were unsuccessful In addition, although the identification of biosynthetic ... (sample-to-reference ratio) Separations were achieved using the TSKgel Amide80 column and the same mobile phase as reported previously [12,13] The MS data were acquired using the centroid mode Tandem MS of the...

Ngày tải lên: 23/03/2014, 06:20

Ngày tải lên: 23/03/2014, 11:21

... auxiliary document-topic matrix 1: Randomly initialize U and V, and normalize them 2: repeat 3: Update U using Eq (3); 4: Update V using Eq (4); 5: Compute f using Eq (2); 6: until f converges Experimental ... they are all based on sentence -based topic model The difference is that the document-topic allocation V is marginalized out in BSTM The marginalization increases the stability of the estimation ... LexPageRank: The method first constructs a sentence connectivity graph based on cosine similarity and then selects important sentences based on the concept of eigenvector centrality (Erkan and Radev,...

Ngày tải lên: 23/03/2014, 17:20

... input string which gets parsed), and (ii) a chunk language model score, which is using a standard n-gram model based on the chunk sequences The latter should give worse scores in cases like hypothesis ... penalties we were using so far and which blurred the statistical nature of the model • identifying good reranking candidates: So far, the only and exclusive heuristics we are using for determining ... token stream is "cleaned up" in the preprocessing pipe, which then serves as the input of the POS based chunk parser Finally, the chunk representations generated by the parser are used to compute...

Ngày tải lên: 23/03/2014, 19:20

... ITG -based alignments took 1.5 hours/sentence (owing to their O(n6 ) complexity), while tercom -based alignments only took 0.4 sec/sentence Concluding Remarks We compared alignments obtained using ... generated using MT systems applied to the Chinese GALE 2007 Dev set, which consists of roughly 550 Newswire segments, and 650 Weblog segments The confusion networks which were generated with the ITGbased ... oracle BLEU scores The BLEU oracle sentences were found using the dynamic-programming algorithm given in Dreyer et al (2007) and measured using Philipp Koehn’s evaluation script On the other hand,...

Ngày tải lên: 31/03/2014, 00:20