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» Issues in evaluation of stream learning algorithms
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AAAI
1990
13 years 8 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
TON
2008
139views more  TON 2008»
13 years 7 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
PLDI
2005
ACM
14 years 1 months ago
Programming by sketching for bit-streaming programs
This paper introduces the concept of programming with sketches, an approach for the rapid development of high-performance applications. This approach allows a programmer to write ...
Armando Solar-Lezama, Rodric M. Rabbah, Rastislav ...
INFOCOM
2009
IEEE
14 years 2 months ago
Variable-Stride Multi-Pattern Matching For Scalable Deep Packet Inspection
Abstract—Accelerating multi-pattern matching is a critical issue in building high-performance deep packet inspection systems. Achieving high-throughputs while reducing both memor...
Nan Hua, Haoyu Song, T. V. Lakshman