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NEUROSCIENCE
2001
Springer
15 years 11 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
183
Voted
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 7 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
CASES
2006
ACM
16 years 24 days ago
A dynamic binary instrumentation engine for the ARM architecture
Dynamic binary instrumentation (DBI) is a powerful technique for analyzing the runtime behavior of software. While numerous DBI frameworks have been developed for general-purpose ...
Kim M. Hazelwood, Artur Klauser
PSLS
1995
15 years 10 months ago
Lazy Remote Procedure Call and its Implementation in a Parallel Variant of C
Abstract. Lazy task creation (LTC) is an e cient approach for executing divide and conquer parallel programs that has been used in the implementation of Multilisp's future con...
Marc Feeley
CLOUD
2010
ACM
15 years 12 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...