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Value-level programming
Known as:
Object-level programming
, Value-level
, Value-level (programming)
Value-level programming refers to one of the two contrasting programming paradigms identified by John Backus in his work on programs as mathematical…
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Related topics
Related topics
9 relations
Closure (computer programming)
Concatenative programming language
Function-level programming
Lambda calculus
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
Chuan Wang
,
Takeshi Onishi
,
Keiichi Nemoto
,
K. Ma
IEEE International Conference on Big Data (Big…
2018
Corpus ID: 58014200
Deep Recurrent Neural Network (RNN) has gained popularity in many sequence classification tasks. Beyond predicting a correct…
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2018
2018
Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data
Hongzuo Xu
,
Yongjun Wang
,
Zhiyue Wu
,
Xingkong Ma
,
Zhiquan Qin
International Conference on Database and Expert…
2018
Corpus ID: 52052978
This paper introduces a novel unsupervised outlier detection method, namely WOD, for identifying outliers in categorical data…
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Review
2015
Review
2015
All Data Are ( Most Likely ) Not Created Equal : A SAS ® Macro to Compare Structure and Data Across Multiple Datasets
J. Salemi
2015
Corpus ID: 17050529
In nearly every discipline, from Accounting to Zoology, whether you are a student-in-training or an established professional, a…
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2008
2008
The Theory and Implementation of InputValidator: A Semi-Automated Value-Level Bypass Testing Tool
James Miller
,
L. Zhang
,
Ejike Ofuonye
,
Michael R. Smith
International Journal of Information Technology…
2008
Corpus ID: 33019073
The construction and testing of Web-based systems has become more complex and challenging because of continual innovations in…
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2007
2007
Relational peculiarity-oriented mining
Muneaki Ohshima
,
N. Zhong
,
Yiyu Yao
,
Chunnian Liu
Data mining and knowledge discovery
2007
Corpus ID: 24614782
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A…
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2007
2007
An Approach for Harmonizing Conflicting Policies in Multiple Self-Adaptive Modules
Hua Wang
,
Jing Ying
International Conference on Machine Learning and…
2007
Corpus ID: 26332035
A recent approach to monitor and adapt system behavior at runtime is to decouple one or more external modules and self-adaptive…
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2005
2005
Use of Meta-data for Value-level Inconsistency Detection and Resolution During Data Integration
P. Anokhin
2005
Corpus ID: 15465820
This paper addresses the data integration problem: there exists a collection of autonomous heterogeneous information sources that…
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2004
2004
A complete characterization of a notion of contraction based on information-value
Horacio L. Arló-Costa
,
I. Levi
Non-Monotonic Reasoning
2004
Corpus ID: 18151990
We present a decision-theoretically motivated notion of contraction which, we claim, encodes the principles of minimal change and…
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2003
2003
Modeling State in Software Debugging of VHDL-RTL Designs - A Model-Based Diagnosis Approach
B. Peischl
,
F. Wotawa
arXiv.org
2003
Corpus ID: 6843598
In this paper we outline an approach of applying model-based diagnosis to the field of automatic software debugging of hardware…
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1992
1992
Generalizing the hop: object-level programming for legged motion
J. Kearney
,
S. Hansen
Proceedings IEEE International Conference on…
1992
Corpus ID: 27045044
A model-independent method for controlling a hopping robot is presented. The approach focuses on the interaction between the…
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