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» On Combining Classifiers
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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 9 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
HPCA
2004
IEEE
14 years 9 months ago
Perceptron-Based Branch Confidence Estimation
Pipeline gating has been proposed for reducing wasted speculative execution due to branch mispredictions. As processors become deeper or wider, pipeline gating becomes more import...
Haitham Akkary, Srikanth T. Srinivasan, Rajendar K...
SIGMOD
2005
ACM
106views Database» more  SIGMOD 2005»
14 years 8 months ago
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique s...
Amit Manjhi, Suman Nath, Phillip B. Gibbons
PODS
2008
ACM
165views Database» more  PODS 2008»
14 years 8 months ago
Data exchange and schema mappings in open and closed worlds
In the study of data exchange one usually assumes an openworld semantics, making it possible to extend instances of target schemas. An alternative closed-world semantics only move...
Leonid Libkin, Cristina Sirangelo
ICFP
2002
ACM
14 years 8 months ago
Meta-programming with names and necessity
Meta-programming is a discipline of writing programs in a certain programming language that generate, manipulate or execute programs written in another language. In a typed settin...
Aleksandar Nanevski