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Consistent Generative Query Networks [article]

Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
2019 arXiv   pre-print
We introduce a model that overcomes these drawbacks by generating a latent representation from an arbitrary set of frames that can then be used to simultaneously and efficiently sample temporally consistent  ...  Stochastic video prediction models take in a sequence of image frames, and generate a sequence of consecutive future image frames.  ...  We also include samples from GQN, which does not have the architectural features used to enforce consistency between the target frames, that is, the deterministic rendering network, global query-independent  ... 
arXiv:1807.02033v3 fatcat:42m4fmok7fg75dnmg46iq6v2ve

Specification and verification of network managers for large internets

D. L. Cohrs, B. P. Miller
1989 Computer communication review  
In its prescriptive aspect, NMSL generates configuration information directly from a consistent specification.  ...  This information is used to configure network management processes to make their operation consistent with their specifications.  ...  Providing general support for network management systems also requires support for more complex queries than outlined above.  ... 
doi:10.1145/75247.75251 fatcat:haizwfkv5vc67c3vmndwtgzhca

Query Graph Visualizer: A visual collaborative querying system

Dion Hoe-Lian Goh, Alton Y.K. Chua, Chei Sian Lee, Brendan Luyt
2008 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)  
Users are able to explore the query network and select queries for execution on an information retrieval (IR) system.  ...  We present the Query Graph Visualizer (QGV), a visual collaborative querying system that recommends related queries to a user's submitted query through a network visualization scheme.  ...  The network retrieval engine constructs a query network given a query as a root node and a set of network generation options.  ... 
doi:10.1109/icadiwt.2008.4664322 fatcat:y2g6t5vkxvdfflozuzugp6zk5i

Knowledge and Cache based Adaptive Query Searching in Unstructured P2P Networks

G. Ramachandran, K. Selvakumar
2012 International Journal of Computer Applications  
of hop counts in query message.  ...  Efficient search is a challenging task in unstructured peer-topeer networks.  ...  Average network traffic = (Ti / (Qi) Where Ti is the total amount of traffic generated by queries and Qi is the total number of queries generated by peer i.  ... 
doi:10.5120/7390-0247 fatcat:exupipcd55eknf4ri4kvd2kzdq

Representation and inference with consistent temporal propositions [chapter]

Cristina Ribeiro, António Porto
1994 Lecture Notes in Computer Science  
Queries posed to a knowledge base which includes facts and rules use deduction to explore its consequences and abduction to generate consistent hypotheses.  ...  The integration of constraint solving with abduction allows a query oriented generation of answers where the enforcement of constraints is efficiently performed.  ...  Such inconsistencies are not detectable from the network, and the enforcement of global consistency requires the generation of a scenario for the rules in the KB.  ... 
doi:10.1007/3-540-58025-5_64 fatcat:jhwuhy3cf5hhxgdxmrfiym2vx4

Learning Qualitative Constraint Networks

Malek Mouhoub, Hamad Al Marri, Eisa Alanazi, Michael Wagner
2018 International Symposium/Workshop on Temporal Representation and Reasoning  
We use the learning theory machinery to prove some limits on learning path consistent QCNs from queries.  ...  During this acquisition process, constraint propagation through Path Consistency (PC) is performed in order to reduce the number of membership queries needed to reach the target QCN.  ...  The algorithm terminates when there is no query to generate. The target network, in the form of the clausal theory T is then returned.  ... 
doi:10.4230/lipics.time.2018.19 dblp:conf/time/MouhoubMA18 fatcat:rb5pp5soafbntgzkjlqoikjttu

Specification and verification of network managers for large internets

D. L. Cohrs, B. P. Miller
1989 Symposium proceedings on Communications architectures & protocols - SIGCOMM '89  
In its prescriptive aspect, NMSL generates configuration information directly from a consistent specification.  ...  This information is used to configure network management processes to make their operation consistent with their specifications.  ...  Providing general support for network management systems also requires support for more complex queries than outlined above.  ... 
doi:10.1145/75246.75251 dblp:conf/sigcomm/CohrsM89 fatcat:o4wwk4kup5awjclpgukjsuu3pi

Recent Advances in SQL Query Generation: A Survey [article]

Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska
2020 arXiv   pre-print
Several datasets intended to address the problem of SQL query generation are interpreted and briefly overviewed.  ...  This survey aims to overview some of the latest methods and models proposed in the area of SQL query generation from natural language.  ...  Seq2SQL Seq2SQL 7 [15] method consists of two parts: augmented pointer generator network and main Seq2SQL model.  ... 
arXiv:2005.07667v1 fatcat:ilxq5lc4yvfz7lmtb5kedtrdzy

A Framework for Querying Sensor Networks Using Mobile Devices

Shourui Tian, Sol M. Shatz, Yang Yu
2007 2007 16th International Conference on Computer Communications and Networks  
We propose a pull query model that contains staged operations including query generation, query routing, query injection, and query result routing.  ...  Index Terms-mobile objects, query processing, sensor networks.  ...  Our query processing consists of four sequential phases as illustrated in Figure 2 : query generation, query routing, query injection, and query result routing.  ... 
doi:10.1109/icccn.2007.4317999 dblp:conf/icccn/TianSY07 fatcat:ed7wy6k5xvh33n4jhaecpu7agq

Multi-Turn Chatbot Based on Query-Context Attentions and Dual Wasserstein Generative Adversarial Networks

Jintae Kim, Shinhyeok Oh, Oh-Woog Kwon, Harksoo Kim
2019 Applied Sciences  
To generate proper responses to user queries, multi-turn chatbot models should selectively consider dialogue histories.  ...  In addition, we propose a training method that uses two types of Wasserstein generative adversarial networks to improve the quality of responses.  ...  In general, Seq2Seq models consist of two recurrent neural networks (RNNs): An RNN for encoding inputs and an RNN for generating outputs.  ... 
doi:10.3390/app9183908 fatcat:zcjvnnexhbe4te77quk47ck6rm

Conceptual Query Expansion [chapter]

Orland Hoeber, Xue-Dong Yang, Yiyu Yao
2005 Lecture Notes in Computer Science  
The source of the query expansion information is the concept network knowledge base.  ...  Query terms are matched to those contained in the concept network, from which concepts are deduced and additional query terms are selected.  ...  Conceptual Query Expansion Using the Concept Network Given a concept network CN = {C, P, E}, and a query Q = {q 1 , . . . , q n } consisting of query phrases q i , the process of constructing a query expansion  ... 
doi:10.1007/11495772_30 fatcat:aop2joz5jjbrdg36lyo553uqcy

Study of Two-level P2P Model on Self-adaptive Dynamic Network

Feixue Huang, Zhijie Li
2010 Modern Applied Science  
When super peer join or leave, it does not maintain the consistency of entire network's logic topology.  ...  The conclusion indicates that the model could be more applicable in ad hoc P2P network with high churn rate compared with Chord network.  ...  When peers join or leave, due to update the other peers in the networks, regardless of under what circumstances Chord need launch at least log N queries, and a query generate O (log N) hops, it totally  ... 
doi:10.5539/mas.v4n7p59 fatcat:7xrj3ickcvbbxbdxpw7bezx6mm

BackStreamDB: A Distributed System for Backbone Traffic Monitoring Providing Arbitrary Measurements in Real-Time [chapter]

Christian Lyra, Carmem S. Hara, Elias P. Duarte
2012 Lecture Notes in Computer Science  
Monitoring the traffic of wide area networks consisting of several autonomous systems connected through a high-speed backbone is a challenge due to the huge amount of traffic.  ...  We thank the Brazilian National Research Network, RNP, for supporting the deployment of the proposed system through Working Group GT-BackStreamDB.  ...  A very common type of network probing consists of sending packets to all hosts on a given network in order to find the active and working ones.  ... 
doi:10.1007/978-3-642-28537-0_5 fatcat:quaokn5vpreaxhaxevtvoxdozi

Flexible network reconstruction from relational databases with Cytoscape and CytoSQL

Kris Laukens, Jens Hollunder, Thanh Hai Dang, Geert De Jaeger, Martin Kuiper, Erwin Witters, Alain Verschoren, Koenraad Van Leemput
2010 BMC Bioinformatics  
It allows to launch SQL ('Structured Query Language') queries from within Cytoscape, with the option to inject node or edge features of an existing network as SQL arguments, and to convert the retrieved  ...  Thanks to the power of the SQL syntax, this tool can rapidly generate and enrich networks according to very complex criteria. The plugin is available at  ...  The first two queries are used to generate a network consisting of relationships between "molecules" and the "reactions" between them.  ... 
doi:10.1186/1471-2105-11-360 pmid:20594316 pmcid:PMC2910028 fatcat:ld5axdz5sjgqtgrkhkmozh4ugq

Semantic self-assessment of query results in dynamic environments

Jamie Payton, Christine Julien, Gruia-Catalin Roman, Vasanth Rajamani
2010 ACM Transactions on Software Engineering and Methodology  
In this paper, we propose a query processing model for mobile ad hoc and sensor networks that is suitable for expressing a wide range of query semantics; the semantics differ in the degree of consistency  ...  When query processing is introduced in a dynamic network setting, achieving transactional semantics becomes complex due to the open and unpredictable environment.  ...  To our knowledge, this is the first attempt to provide a general specification method for query execution semantics in such networks.  ... 
doi:10.1145/1734229.1734231 fatcat:nlsbuup6rbdvdlxlq4ooiuve5u
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