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A bibliography on parallel inference machines
1985
Journal of symbolic computation
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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
Principles of the Delphi Parallel Inference Machine
1987
Computer journal
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form of TABLOG 11 a more suitable language for programming the DelPhi machine (and parallel logic machines in general). ...
machine. ...
doi:10.1093/comjnl/30.5.386
fatcat:estucxkcwzfsrgffv5igakk2b4
Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora
2009
The Journal of Artificial Intelligence Research
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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]
2005
Lecture Notes in Computer Science
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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
1974
Information and Control
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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]
2014
arXiv
pre-print
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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
Preserved Fulltext
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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
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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]
2010
Lecture Notes in Computer Science
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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
2020
Bioinformatics
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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]
2015
arXiv
pre-print
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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
2015
2015 7th International Conference on New Technologies, Mobility and Security (NTMS)
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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
2003
Genome Informatics Series
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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]
2017
arXiv
pre-print
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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
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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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