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A bibliography on parallel inference machines

W. Bibel, K.Aspetsbeger
1985 Journal of symbolic computation  
XP's: An Extended OR-Parallel Prolog System. Tech. Rep. TR 023, ICOT, I983 (Japanese). Bibel, W., Buchberger, B. (1984) . Towards a Connection Machine for Logical Inference. Int.  ...  Papers qualifying for this bibliography should meet the following criteria: --the architecture should be truely parallel (no simulation of parallelism on sequential machines) --the architecture must be  ... 
doi:10.1016/s0747-7171(85)80033-x fatcat:lpfpxx3abnem5g3k4dwacb4q4e

Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora

F. Sánchez-Martínez, M. L. Forcada
2009 The Journal of Artificial Intelligence Research  
This paper describes a method for the automatic inference of structural transfer rules to be used in a shallow-transfer machine translation (MT) system from small parallel corpora.  ...  The method we present is entirely unsupervised and benefits from information in the rest of modules of the MT system in which the inferred rules are applied.  ...  Alignment Templates for Shallow-Transfer Machine Translation To apply the AT approach in a shallow-transfer MT system, the parallel corpus from which the ATs are learned must be in the intermediate representation  ... 
doi:10.1613/jair.2735 fatcat:hgjg4okp2bbcpdtkra7p3yk2lm

Inferring the Topology and Traffic Load of Parallel Programs Running in a Virtual Machine Environment [chapter]

Ashish Gupta, Peter A. Dinda
2005 Lecture Notes in Computer Science  
captured on each host machine to form a global picture of the parallel application's traffic load matrix, and (3) we can infer from the traffic load matrix the application topology.  ...  In this paper, we describe our initial results in monitoring the communication traffic of parallel applications, and inferring its spatial communication properties.  ...  Online VTTIF After working with offline parallel program topology inference on the physical hosts, the next step was to develop an online framework for a virtual machine environment.  ... 
doi:10.1007/11407522_7 fatcat:3z5l6s57ejapnol3l7fthy2si4

Book review

H. Keith Nishihara
1974 Information and Control  
In another section he deduces in a most peculiar manner that biological processing is parallel rather than serial and indicates that perhaps our machines will have to be parallel if they are to be any  ...  Since serial aids help humans much more than parallel ones the axiom would indicate that humans are parallel processors.  ...  In another section he deduces in a most peculiar manner that biological processing is parallel rather than serial and indicates that perhaps our machines will have to be parallel if they are to be any  ... 
doi:10.1016/s0019-9958(74)80010-0 fatcat:6s7gw2ej2bctbd3ifq7kbc5lky

Model-Parallel Inference for Big Topic Models [article]

Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
2014 arXiv   pre-print
We describe an architecture for model-parallel inference of LDA, and present a variant of collapsed Gibbs sampling algorithm tailored for it.  ...  To address these issues, we explore another type of parallelism, namely model-parallelism, which enables training of disjoint blocks of a big topic model in parallel.  ...  In the ideal case, as the number of machines doubles, the memory consumption should be halved. We can observe that the model-parallel inference achieves nearly ideal scalability over machines.  ... 
arXiv:1411.2305v1 fatcat:olgkhxrqbrhdtfqtgsf5mpodty

Page 3958 of Mathematical Reviews Vol. , Issue 91G [page]

1991 Mathematical Reviews  
of inductive inference machines (a parallel model of inference), or by a third model called frequency inference.” 91g:68041 68Q10 05C38 05C40 05C85 68Q25 68R10 Das, Sajal K. (1-NTXS); Deo, Narsingh (1  ...  Probabilistic inductive inference machines are defined, and for various criteria of successful inference, it is asked whether a probabilistic inductive inference machine can infer larger classes of functions  ... 

KWIC (key word in context)

1984 The Journal of Logic Programming  
Model to Efficient Compilation of Patterns [166]From Abstract PROLOG Instruction Set [672]An Abstract PROLOG Machine-a Specification [383] Abstract PROLOG Machine and its Application to Partial Evaluation  ...  [336] on of an Abstract PROLOG Machine [334]An Abstraction in Logic Programming [198]Modularization and Abstraction in Logic Programming [199]Modularization and Abstraction in PROLOG/KR [439]Data Acceptability  ...  Machine (Psi): its Design Philosophy and Machine Architecture [445]_al Inference Machine (Inference Machine: from Sequential to Parallel Logic [6211 Inference Machine: from Sequential to Parallel  ... 
doi:10.1016/0743-1066(84)90025-6 fatcat:ypq2jrr3mvd3hflnp6ftrcd5vm

Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System [chapter]

Vladimir Kolovski, Zhe Wu, George Eadon
2010 Lecture Notes in Computer Science  
In this paper, we present an OWL 2 RL inference engine implemented inside the Oracle database system, using novel techniques for parallel processing that can readily scale on multicore machines and clusters  ...  However, building an enterprise-scale forward-chaining based inference engine that can 1) take advantage of modern multi-core computer architectures, and 2) efficiently update inference for additions remains  ...  We thank Tim Cline for his help in providing server-class machines S3 and S4.  ... 
doi:10.1007/978-3-642-17746-0_28 fatcat:qpfkoxfbs5afdb22qipuqw2ipa

Scalable machine learning-assisted model exploration and inference using Sciope

Prashant Singh, Fredrik Wrede, Andreas Hellander, Pier Luigi Martelli
2020 Bioinformatics  
Sciope is designed to support new algorithms for machine-learning assisted model exploration and likelihood-free inference.  ...  Recently, machine-learning assisted methods have shown great promise to handle larger, more complex models.  ...  They serve to demonstrate the machine learning-enabled exploration and inference capabilities highlighted in Figure 1A .  ... 
doi:10.1093/bioinformatics/btaa673 pmid:32706854 pmcid:PMC8055224 fatcat:nnssvkymv5hfrlphxoqscaavaq

Embarrassingly Parallel Variational Inference in Nonconjugate Models [article]

Willie Neiswanger, Chong Wang, Eric Xing
2015 arXiv   pre-print
We develop a parallel variational inference (VI) procedure for use in data-distributed settings, where each machine only has access to a subset of data and runs VI independently, without communicating  ...  with other machines.  ...  Embarrassingly Parallel Variational Inference in Nonconjugate Models Embarrassingly parallel variational inference (EPVI) in nonconjugate models is a parallel approximate Bayesian inference method for  ... 
arXiv:1510.04163v1 fatcat:ylpi75e2zbgx3eqxssjnegtbwm

Efficient web services selection based on QoS through a distributed parallel semantic approach

Luis H. V. Nakamura, Pedro F. do Prado, Rafael M. de O. Libardi, Luiz H. Nunes, Rodolfo I. Meneguette, Julio C. Estrella, Regina H. C. Santana, Marcos J. Santana, Stephan Reiff-Marganiec
2015 2015 7th International Conference on New Technologies, Mobility and Security (NTMS)  
This paper proposes a solution to performance issues in the selection of Web services based on Quality of Service (QoS) that uses inference mechanisms from Semantic Web resources.  ...  The results point to a significant improvement in the ontology inference process and thus makes the use of semantic resources viable in distributed systems to provide better QoS.  ...  In this paper, we propose an inference process in parallel.  ... 
doi:10.1109/ntms.2015.7266489 dblp:conf/ntms/NakamuraPLNMESS15 fatcat:yibl7odvwbdkjoy2catx5hrrvm

Integrated System for Inference of Gene Expression Network

Masahiko Nakatsui, Takanori Ueda, Masahiro Okamoto
2003 Genome Informatics Series  
Inferred engine were developed by C++. MPI-2 was used for starting of program, and for communication between each process of distributed parallel machines.  ...  Upper half of Fig. 1 shows transient optimizing progress of all processes in parallel machines; the ordinate shows averaged error value between calculated values and experimental ones, the abscissa is  ... 
doi:10.11234/gi1990.14.282 fatcat:5bg533wfyvfgjgetfeh4gp2vuq

Parallel Markov Chain Monte Carlo for the Indian Buffet Process [article]

Michael M. Zhang, Avinava Dubey, Sinead A. Williamson
2017 arXiv   pre-print
For the finite partition, parallel inference is simple given the instantiation of features.  ...  In this paper we present a novel algorithm to perform asymptotically exact parallel Markov chain Monte Carlo inference for Indian Buffet Process models.  ...  If we were in a "big data" situation in which we cannot even hold our data on one machine, we then would need to perform parallel inference for the IBP.  ... 
arXiv:1703.03457v1 fatcat:7kv3ey2ksnfatfxjwct74kvjzm

Cumulative subject index

1988 Information and Computation  
machines, 79, 193 I Boldface number indicates appropriate volume: lightface number indicates pagination.  ...  , 77, 123 Communication reliable, and fault-tolerant computing: delinition and analysis of varyingstructure linear systems, 79, 257 Completeness postdictive, consideration as restriction on inductive inference  ...  concurrent-write parallel, power limits, 76, 13 inductive inference, restrictions on: post- dictive completeness, postdictive con- sistency, and reliability, 79, 193 learning, aggregations, probability  ... 
doi:10.1016/0890-5401(88)90023-5 fatcat:xnrqpyeuefaepjhrbx4w5pqz4e
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