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AAAI
1998
15 years 8 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
205
Voted
PAKM
2000
15 years 8 months ago
Knowledge Management and New Product Development: Learning from a Software Development Firm
The core of the new product development [NPD] process centers on knowledge creation, utilization and the management of knowledge. This manuscript uses a software firm case to esta...
Abraham B. Shani, James A. Sena
ICASSP
2010
IEEE
15 years 7 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
JAIR
2006
137views more  JAIR 2006»
15 years 7 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
203
Voted
IJNSEC
2007
122views more  IJNSEC 2007»
15 years 7 months ago
Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method
This paper analyzes the blackhole attack which is one of the possible attacks in ad hoc networks. In a blackhole attack, a malicious node impersonates a destination node by sendin...
Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato, Abb...