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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 11 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
ASIAN
2005
Springer
178views Algorithms» more  ASIAN 2005»
14 years 2 months ago
An Approach for Service Discovery Based on Semantic Peer-to-Peer
The service discovery is a key step during Peer-to-Peer (P2P) converging with Web Service. In this paper, a semantic-P2P based approach is presented for web service discovery. To e...
Hao Wu, Hai Jin, Yunfa Li, Hanhan Chen
WWW
2004
ACM
14 years 9 months ago
Is question answering an acquired skill?
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Par...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 9 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
HPCA
2005
IEEE
14 years 9 months ago
Using Virtual Load/Store Queues (VLSQs) to Reduce the Negative Effects of Reordered Memory Instructions
The use of large instruction windows coupled with aggressive out-oforder and prefetching capabilities has provided significant improvements in processor performance. In this paper...
Aamer Jaleel, Bruce L. Jacob