Algorithms for large scale nuclear norm minimization and convex quadratic semidefinite programming problems
Algorithms for large scale nuclear norm minimization and convex quadratic semidefinite programming problems
... a variety of large scale nuclear norm minimization and convex QSDP problems show that our proposed algorithms are very efficient and robust We give the final conclusion of the thesis and discuss ... highly efficient and robust in solving large- scale random matrix completion problems In [71], Liu, Sun and Toh considered the following nuclear norm minimization p...
Inexact interior point methods for large scale linear and convex quadratic semidefinite programming
... developed an inexact primal-dual path-following interior- point method for convex quadratic symmetric xi xii Summary cone programming problems and an inexact dual-scaling interior- point method for linear ... beyond interior- point methods to consider algorithms based on classical methods for convex programming, such as proximal -point and augmented Lagr...
Tài liệu Báo cáo khoa học: "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation" doc
... composite language model, both the data and the parameters can’t be stored in a single machine, so we have to resort to distributed computing The topic of large scale distributed language models ... n-gram/mSLM/PLSA language model The composite n-gram/m-SLM/PLSA language model can be formulated as a directed MRF model (Wang et al., 2006) with local normalization cons...
Báo cáo khoa học: "A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora" pot
... described the first system for automatically acquiring verbal, nominal and adjectival subcategorization and associated frequency information from English corpora, which can be used to build large-scale ... Automatic acquisition of subcategorization frames from untagged text In Proc of the 29th Meeting of ACL, pages 209–214 E J Briscoe and J Carroll 1997 Auto...
scalable decentralized object location and routing for large scale peer to peer systems
... constructing peer- to -peer applications and understanding more of the issues and requirements of such applications and systems [1, 2, 5, 8, 10, 15] One of the key problems in large- scale peer- to -peer ... peer- to -peer applications is to provide efficient algorithms for object location and routing within the network This paper presents Pastry, a generic...
Báo cáo hóa học: " Adaptive antenna selection and Tx/Rx beamforming for large-scale MIMO systems in 60 GHz channels" pptx
... nt Nt Antenna selection & Beamforming Nr Feedback nr RF Antenna selection & Beamforming Figure A 60 GHz MIMO system employing antenna selection and transmit/receive beamforming Once the antenna ... antenna selection and Tx/Rx beamforming for large-scale MIMO systems in 60 GHz channels EURASIP Journal on Wireless Communications and Networki...
Báo cáo hóa học: " Research Article Distributed and Cooperative Link Scheduling for Large-Scale Multihop Wireless Networks" doc
... presented a distributed and cooperative link scheduling (DCLS) algorithm which is especially useful for large-scale multihop wireless networks This algorithm partitions a set of links into several ... Cruz, and L B Milstein, Distributed link scheduling, power control and routing for multihop wireless MIMO networks,” in Proceedings of the Fortieth Asilomar Confe...
Báo cáo y học: "Network security and data integrity in academia: an assessment and a proposal for large-scale archiving" potx
... student at University of California, Berkeley had all her files and many emails erased by this hacker In another incident at UC Berkeley a bioinformatics lab was successfully hacked Key data on ... journals Digital data are more ephemeral and, because modern technology allows information to be generated at a much faster rate, the scale of digital information is vastly greater tha...
Báo cáo y học: "An annotated cDNA library and microarray for large-scale gene-expression studies in the ant Solenopsis invicta" pot
... Alternatively, these gene categories may simply be biased in cDNA libraries relative to genomes, for instance, because they contain mainly highly or mainly lowly expressed genes GO groupings and subcategories ... likely stem from genuine fire ant viruses Another five ESTs, including the three SINV-1 ESTs, amplified only in ant larvae For these larvaespecific ESTs and the...
A semismooth newton CG augmented lagrangian method for large scale linear and convex quadratic SDPS
... method as a special case of convex QSDPs 1.2 Organization of the thesis In this thesis, we study a semismooth Newton- CG augmented Lagrangian dual approach to solve large scale linear and convex quadratic ... augmented Lagrangian method for solving large scale linear and convex quadratic programs over symmetric cones; and • to design efficient...
Tài liệu Báo cáo khoa học: "Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT" pdf
... Joint Feature Selection in Distributed Stochastic Learning The following discussion of learning methods is based on pairwise ranking in a Stochastic Gradient Descent (SGD) framework The resulting ... from scaling discriminative training for SMT to large training sets We deploy generic features for SCFG-based SMT that can efficiently be read off from rules at runtime...
Báo cáo khoa học: "Leveraging Reusability: Cost-effective Lexical Acquisition for Large-scale Ontology Translation" potx
... not of great value for access to segments of video, may be important for organizing other concepts and for browsing the hierarchy These factors must be balanced in developing a cost-effective process ... translation accuracy for our system can be directly interpreted as quality measures for the lexical resources used and the process by which they were developed Evaluation We per...
Báo cáo khoa học: "Efficient Inference of CRFs for Large-Scale Natural Language Data" docx
... performs 5∼50 times faster for training (1,774 s for M ALLET, 18,134 s for C RF ++, Experiment We evaluated our method on six large-scale natural language data sets (Table 1): Penn Treebank3 for ... decoding (2.881 ms for M ALLET, 5.028 ms for C RF ++, and 0.418 ms for ours) This result demonstrates that learning and decoding CRFs for large-scale natural language...
Mining Console Logs for Large-Scale System Problem Detection docx
... behavior happens, and therefore Approach There are four steps in our approach for mining console logs We first extract structured information from console logs By combining logs with source code, ... algorithm to refine detection results In summary, our initial work has opened up many new opportunities for turning built-in console logs into a powerful monitoring system...