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Remote Incremental Adaption of . . .
"... Wireless Sensor Networks (WSNs) are deployed for long periods of time, during which a need often arises to dynamically reprogram or retask them. An array of solutions has been proposed to this effect, ranging from full image replacement to virtual machines. However, the capabilities of TinyOS – the ..."
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exchange of components in WSN applications by conserving their modularity during the compilation process. This generates the possibility of incremental adaptation of sensor nodes ’ behavior through partial code replacement. The designed system does not require any alterations in the existing user
On Incremental Adaptation of CHR Derivations
- Journal of Applied Artificial Intelligence, Special issue on Constraint Handling Rules
, 2000
"... Constraint solving in dynamic environments requires an immediate adaptation of solutions of constraint satisfaction problems if these problems are changing. After any change, an adapted solution is preferred which is stable, i.e. as close as possible to the original solution. A wide range of increme ..."
Abstract
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Cited by 10 (3 self)
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of incremental constraint solving methods for dynamic, especially finite domain, constraint satisfaction problems (DCSPs) are known which satisfy more or less this additional requirement. Adaptation of DCSPs after constraint additions is in general simple and successfully solved, while adaptation after arbitrary
Testing incremental adaptation
- In Second International Conference on AI Planning Systems
, 1994
"... Abstract A robot system operating in an environment in which there is uncertainty and change needs to combine the ability to react with the ability to plan ahead. In a previous paper we proposed a solution to the problems of integrating planning and reaction: cast planning as adaptation of a reacti ..."
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Cited by 3 (0 self)
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Abstract A robot system operating in an environment in which there is uncertainty and change needs to combine the ability to react with the ability to plan ahead. In a previous paper we proposed a solution to the problems of integrating planning and reaction: cast planning as adaptation of a
Incremental adaptation using Bayesian inference
- in Proc. ICASSP, 2006
"... Adaptive training is a powerful technique to build system on nonhomogeneous training data. Here, a canonical model, representing “pure ” speech variability and a set of transforms representing unwanted acoustic variabilities are both trained. To use the canonical model for recognition, a transform f ..."
Abstract
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Cited by 4 (2 self)
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implementation of this Bayesian inference is intractable. Recently, lower bound approximations based on variational Bayes have been used to solve this problem for batch adaptation with limited data. This paper extends this Bayesian adaptation framework to incremental adaptation. Various lower
Incremental adaptation with vts and joint adaptively trained systems
- in Proc. Interspeech
, 2009
"... Recently adaptive training schemes using model based compensation approaches such as VTS and JUD have been proposed. Adaptive training allows the use of multi-environment training data whilst training a neutral, “clean”, acoustic model to be trained. This paper describes and assesses the advantages ..."
Abstract
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Cited by 1 (1 self)
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of using incremental, rather than batch, mode adaptation with these adaptively trained systems. Incremental adaptation reduces the latency during recognition, and has the possibility of reducing the error rate for slowly varying noise. The work is evaluated on a large scale multi-environment training
Incremental Adaptation for Conceptual Design in EADOCS
- IN EADOCS, ECAI96 WORKSHOP ON ADAPTATION IN CASE-BASED REASONING
, 1996
"... ..."
Towards incremental adaptive covering arrays
- In Proc. of the 14th ACM SIGSOFT Symp. on Foundations of SW Eng
, 2007
"... The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between configurations. Prior work shows that test schedules based on a mathematical object, called a covering array, can be used to d ..."
Abstract
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Cited by 4 (2 self)
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single covering array is insufficient to classify specific failures, the entire process must be rerun from scratch. To address these issues, our new approach incrementally and adaptively builds covering array schedules. It begins with a low strength, and continually increases this as resources allow
Hierarchical Incremental Adaptation for Statistical Machine Translation
"... We present an incremental adaptation ap-proach for statistical machine translation that maintains a flexible hierarchical do-main structure within a single consistent model. Both weights and rules are updated incrementally on a stream of post-edits. Our multi-level domain hierarchy allows the sys-te ..."
Abstract
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Cited by 1 (0 self)
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We present an incremental adaptation ap-proach for statistical machine translation that maintains a flexible hierarchical do-main structure within a single consistent model. Both weights and rules are updated incrementally on a stream of post-edits. Our multi-level domain hierarchy allows the sys
ROBUST INCREMENTAL ADAPTATION OF GMM IN SPEAKER RECOGNITION
"... ABSTRACT: Speaker model in speaker recognition system is to be trained from a large data set uttered in multiple sessions. The large data set requires larger amount of memory and computation, and practically it's hard to make users utter a large amount of data in several sessions. Recently pro ..."
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proposed incremental adaptation methods cover the problems. However, the data set uttered from multiple sessions is vulnerable to outliers from irregular utterance variation and presence of noise, which results in inaccurate speaker model. In this paper, we propose a robust incremental adaptation method
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