... norm of a weight column represents the relevance of the corresponding feature across tasks/shards The sum of the norms enforces a selection among features based on these norms Consider for example ... Such features correspond to the relative frequencies of rewrites rules used in standard models Rule n-grams: These features identify n-grams of consecutive items in a rule We use bigrams on source-sides ... 3task weight matrices in Figure Assuming the same loss for both matrices, the right-hand side matrix is preferred because of a smaller / norm (12 instead of 18) This matrix shares features across...
... an English thesaurus of concepts and elicited Czech translations for a subset of the keyword phrases From these, we decomposed phrase elements for reuse in an English-Czech probabilistic dictionary ... evaluation purposes, we selected 418 keyword phrases to be used as target translations These phrases were selected using a stratified sampling technique so that different levels of thesaurus value would ... phrases presents another issue: some concepts, while not of great value for access to segments of video, may be important for organizing other concepts andfor browsing the hierarchy These factors...
... A decision-tree classifier was developed for 30 adjectival SCF types which tests for the presence of GRs in the GR output of the RASP (Robust Accurate Statistical Parsing) system (Briscoe and Carroll, ... constructions Classifier The classifier operates by attempting to match the set of GRs associated with each sentence against one or more rules which express the possible mappings from GRs to SCFs ... frequencies of SCFs) The classifier of B&C system is comparable to our classifier in the sense that it targets almost the same set of verbal SCFs (165 out of the 168; the additional ones are infrequent...
... accuracy and decoding time of our methods (Table 2) Most results obtained using our method were as accurate as those of Dense and Sparse However, some results of Method 1, 3, and were significantly ... errors For both Dense and Sparse, we executed the exact inference method Our proposed method (Method 1∼4) performs faster than Sparse In most results, Method was the fastest, because it was terminated ... selected 0.001 for Method (this preserves 99% of probability density), for Method 2, andfor Methods and Note that for Methods 2, 3, and indicates an empirical count offeatures in training set...
... differences First, not every processing step is necessarily represented in the console logs; but since the logging points are hand chosen by developers, it is reasonable to assume that logged steps should ... capture some relevant variables, the resulting message types can be in the tens of thousands [11] SLCT [17] and Sisyphus [16] use more advanced clustering and association rule algorithms to extract ... analysis is based on log message groups rather than time series of individual messages The grouping approach makes it possible to obtain useful results with simple, efficient algorithms such as PCA...
... failures, and quantify the cost of this repair in terms of the number of messages exchanged 2.5 Locality In the previous sections, we discussed Pastry s basic routing properties and discussed its performance ... present the Pastry scheme For the purpose of routing, nodeIds and keys are thought of as a sequence of digits with base ¾ Pastry routes messages to the node whose nodeId is numerically closest ... closest to the topicId of a topic, where the topicId is a hash of the topic name That node forms a rendez-vous point for publishers and subscribers Subscribers send a message via Pastry using...
... variable size different system SNR For comparison, the non-adaptive solutions, i.e., the best out of 1,000 random subsets and SVD are also investigated We have several observations First, for both ... chains and antennas is considered as an extra dB increase in noise figure Performanceof antenna selection with fixed size The performanceof Algorithm for antenna selection in a single run is shown ... The simulation starts with the largest subset containing all the 32 transmit antennas The number of selected antennas is then decreased by one at each step For a given size of the selected subset,...
... wireless networks This algorithm partitions a set of links into several subsets of links, where the sparseness of each subset is controlled by the parameters K (the number of time slots per frame) ... calibration, s j (t) for all j are short test signals Each of the test signals is assumed to have unit power during its short duration As discussed later, we can ensure that the test signal for link l is ... only one slot and off for all other slots We see that as K increases, so does s The value ofs is empirically established via simulation The importance ofsfor each given value of K is that...
... such as metabolic flux analysis (MFA) using stoichiometric matrices, has been employed for large- scale analyses of metabolism [4,15,16] Assuming a steady-state condition, MFA provides a flux distribution ... preliminary successes in determining the reaction rates of glycolysis in E coli and human red blood cells Pulse-chase analyses using 13C labeled molecules and the CE-MS/LCMS high-throughput system have ... concentration, such as those caused by changing levels of transcriptional/ post-transcriptional control Such reactions should be included in dynamic modules A similar cause of inconsistency is the reversibility...
... occurrences of proteinlikelihoodhumanset abstracts to with all occurrencesestimate Training PubMed identifiers abstracts annotations interactions A table ofofidentifierslistoftraining setsdiscuss classifierproteins ... processed as follows: text was tokenized using white space as delimiters and treating all punctuation marks as separate tokens The text was segmented into sentences, and part -of- speech tags were ... database of annotation and interactions We have incorporated the results of this analysis into a webbased server [37], which can be queried for interactions of specific proteins Genes are cross-listed...
... governments and funding agencies give serious attention to the issues raised in this article and implement systems for addressing them along the lines suggested herein Acknowledgements This work was supported, ... consistent with the key goal of security in academia: to preserve data and results for posterity reviews There are common and effective lines of defense, such as firewalls and antivirus software, ... the integrity and robustness of data and scientific results and to ensure this for posterity We feel that the open nature of academic genomics research, analogous to the open-source software movement,...
... phred, present in all ESTs and assembled transcripts The majority of sequences (83.7% of assembled sequences and 81.3% of all ESTs) had no unresolved bases Another 15.8% of assembled sequences and ... manuscript; K Ross for ant colonies; L Falquet, P Sperisen and Vital-IT at the Swiss Institute of Bioinformatics for advice and access to bioinformatics resources; C LaMendola for help with ant sampling, ... databases Blast sequence alignments [49,50] were performed using the Blast Network Service provided by the Swiss Institute for Bioinformatics or on a desktop PC using standalone blast software For...
... monitors the progress of the jobs, and informs the users about the jobs’ statuses As large clusters are especially designed for needs oflargescale scientific applications, total of idle cycles of ... provides a set of tools for expressing, executing, and tracking the results of workflows One goal of such systems is to make workflows independent from locations of sites This is a very essential issue ... available nodes in a site So, instead of scheduling jobs based on round robin when there are free nodes, SS2 considers fullnesses of sites for each job scheduling Fullness of a site in SS2 is also calculated...
... http://www.cubrid.org/blog/dev-platform/database -technology -for- large- scaledata/ http://hadoop.apache.org/ http://davidmenninger.ventanaresearch.com/2011/01/19/secrets-revealed-inmassively-parallel-processing -and- database -technology/ ... Greenplum, Aster Data (phát triển s dụng PostgreSQL), HadoopDB a Greenplum database: Greenplum database s dụng kiến trúc Shared Nothing, MPP hỗ trợ SQL xử lý song song MapReduce (SQL cho DBA ... tới node (luôn master) b Aster Data database: Cơ s liệu song song Hình 4: Kiến trúc Aster Data database Queen nodes cung cấp giao diện với data warehouse bên Các user administrator kết nói với...
... Các nội dung trình bày S cần thiết MPP LargeScale Database Phương hướng thực thi MPP Một s hệ thống s liệu thực thi MPP S cần thiết MPP LargeScale Database Có nhiều dịch vụ ... Một s hệ thống s liệu thực thi MPP HadoopDB Aster Data Database HadoopDB Dựa SQL hệ thống Hadoop (MapReduce) S dụng RDBMS S dụng Hive để thực thi pseudo-SQL HDFS (Hadoop Distributed ... 16 Tham khảo http://www.asterdata.com/ http://db.cs.yale.edu/hadoopdb/hadoopd b.html http://www.cubrid.org/blog/devplatform/database -technology -for- largescale-data/ http://hadoop.apache.org/...
... assume p ≤ q throughout this thesis For a given X ∈ norm X X ∗ p×q , its nuclear is defined as the sum of all its singular values and its operator norm is defined as the largest singular value of ... on some basic concepts such as semismooth functions, the B-subdifferential and Clarke s generalized Jacobian of Lipschitz functions These concepts and properties will be critical for our subsequent ... The thesis is organized as follows: in Chapter 2, we present some preliminaries that are critical for subsequent discussions We show that the soft thresholding operator is strongly semismooth everywhere,...
... problems with up to 200 constraints in 195 0s The number of constraints grew to 10, 000 in 197 0s Nowadays, solving LP with millions of variables and hundreds of thousands of constraints is possible ... augmented system or a Schur complement system When this linear system is sparse, computational cost can be substantially reduced by exploiting sparsity, see [32] for details However, for SDP, this linear ... stable set problems are presented • In chapter 6, we summarize the major results of this thesis and discuss a few possible future works 1.3 Convex quadratic SDP The first class of semidefinite programming...
... distances between sensors that are within radio range and the positions of a subset of the sensors (called anchors) Although it is possible to find the position of each sensor in a wireless sensor ... iteration and can solve some of these problems with size up to serval thousands Based on recent developments on the strongly semismoothness of matrix valued functions, Qi and Sun developed a nonsmooth ... methods to solve a class of convex quadratic SDPs and related problems There also exist a number of non-interior point methods for solving largescale convex QSDP problems Koˇvara and Stingl...