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4,041
Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews
, 2003
"... The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor, mixe ..."
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Cited by 453 (0 self)
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The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor
Mixed Task Domain Representation in VR-DIS
- in: Proceedings of the 3rd Asia-Pacific Conference on Human Computer Interaction, APCHI’98, Shonan village
, 1998
"... Direct manipulation interfaces are characterised according to the representation of the task domain: the domain objects and the effect of user operations on those objects. In the VR-DIS system (Virtual Reality- Design Information System), the task domain is represented by a mix of a verbal (textual) ..."
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Cited by 5 (4 self)
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Direct manipulation interfaces are characterised according to the representation of the task domain: the domain objects and the effect of user operations on those objects. In the VR-DIS system (Virtual Reality- Design Information System), the task domain is represented by a mix of a verbal (textual
Coordinating HPF Programs to Mix Task and Data Parallelism
- In Proceedings of SAC’00
, 2000
"... ABSTRACT Experience in applicative fields, above all deriving from the development of multidisciplinary parallel applications, seems to suggest a model where art outer coordination level is provided to allow data parallel tasks to run concurrently and to cooperate each other. The inner computationa ..."
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Cited by 3 (1 self)
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ABSTRACT Experience in applicative fields, above all deriving from the development of multidisciplinary parallel applications, seems to suggest a model where art outer coordination level is provided to allow data parallel tasks to run concurrently and to cooperate each other. The inner
Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
- Advances in Neural Information Processing Systems 8
, 1996
"... On large problems, reinforcement learning systems must use parameterized function approximators such as neural networks in order to generalize between similar situations and actions. In these cases there are no strong theoretical results on the accuracy of convergence, and computational results have ..."
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Cited by 433 (20 self)
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have been mixed. In particular, Boyan and Moore reported at last year's meeting a series of negative results in attempting to apply dynamic programming together with function approximation to simple control problems with continuous state spaces. In this paper, we present positive results for all
CPR: Mixed Task and Data Parallel Scheduling for Distributed Systems
- In Proceedings of the 15th International Parallel and Distributed Symposium
, 2001
"... It is well-known that mixing task and data parallelism to solve large computational applications often yields better speedups compared to either applying pure task parallelism or pure data parallelism. Typically, the applications are modeled in terms of a dependence graph of coarse-grain data-parall ..."
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Cited by 20 (6 self)
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It is well-known that mixing task and data parallelism to solve large computational applications often yields better speedups compared to either applying pure task parallelism or pure data parallelism. Typically, the applications are modeled in terms of a dependence graph of coarse-grain data
Power-Aware Scheduling of Mixed Task Sets in Priority-Driven Systems ⋆
"... Abstract. We propose power-aware on-line task scheduling algorithms for mixed task sets which consist of both periodic and aperiodic tasks. The proposed algorithms utilize the execution behaviors of scheduling servers for aperiodic tasks. Since there is a trade-off between the energy consumption and ..."
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Abstract. We propose power-aware on-line task scheduling algorithms for mixed task sets which consist of both periodic and aperiodic tasks. The proposed algorithms utilize the execution behaviors of scheduling servers for aperiodic tasks. Since there is a trade-off between the energy consumption
A Low-Cost Approach towards Mixed Task and Data Parallel Scheduling
- In Proc. of 2001 International Conference on Parallel Processing (30th ICPP’01
, 2001
"... A relatively new trend in parallel programming scheduling is the so-called mixed task and data scheduling. It has been shown that mixing task and data parallelism to solve large computational applications often yields better speedups compared to either applying pure task parallelism or pure data par ..."
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Cited by 5 (0 self)
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A relatively new trend in parallel programming scheduling is the so-called mixed task and data scheduling. It has been shown that mixing task and data parallelism to solve large computational applications often yields better speedups compared to either applying pure task parallelism or pure data
A Coordination Language for Mixed Task and Data Parallel Programs
- In proceedings of 3rd Annual ACM Symposium on Applied Computing (SAC'99
, 1999
"... We present a coordination model to derive efficient implementations using mixed task and data parallelism. The model provides a specification language in which the programmer defines the available degree of parallelism and a coordination language in which the programmer determines how the potential ..."
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Cited by 11 (0 self)
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We present a coordination model to derive efficient implementations using mixed task and data parallelism. The model provides a specification language in which the programmer defines the available degree of parallelism and a coordination language in which the programmer determines how the potential
Dynamic Voltage Scaling of Mixed Task Sets in Priority-Driven Systems
"... Abstract—This paper describes dynamic voltage scaling (DVS) algorithms for real-time systems with both periodic and aperiodic tasks. Although many DVS algorithms have been developed for real-time systems with periodic tasks, none of them can be used for a system with both periodic and aperiodic task ..."
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the energy consumption and the response time of aperiodic tasks, the proposed algorithms focus on bounding the response time degradation of aperiodic tasks although they delay the response time by stretching the task execution to get high energy savings in mixed task sets. Experimental results show
Reputation Aware Reliable Distributed Grid Scheduler for Mixed Tasks
"... Grid scheduling is one of the vital tasks in grid environment, which maps tasks to resources. More recently, a Reputation based scheduling method based on Reliability was proposed for workflow applications to overcome the deficiencies of the existing reputation methods. The method was focused on onl ..."
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on only computational-intensive tasks. Other recent effort to improve reliability of the scheduling include RDGS (Reliable Distributed Grid Scheduler), which attempts to enhance the Successful Schedule Rate of the mixed tasks by using rescheduling concept. The RDGS method considers various parameters
Results 1 - 10
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4,041