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WMTE
2002
IEEE
15 years 11 months ago
Mobile Internet Usability: What Can 'Mobile Learning' Learn from the Past?
‘Mobile Learning’ is a type of application/service that generally presumes to use mobile Internet technology for learning purposes. This paper focuses on discussing basic usab...
Maria Uther
PR
2007
146views more  PR 2007»
15 years 5 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou
EMNLP
2006
15 years 7 months ago
Semantic Role Labeling via Instance-Based Learning
This paper demonstrates two methods to improve the performance of instancebased learning (IBL) algorithms for the problem of Semantic Role Labeling (SRL). Two IBL algorithms are u...
Chi-san Althon Lin, Tony C. Smith
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
16 years 6 months ago
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 6 months ago
Cross channel optimized marketing by reinforcement learning
Naoki Abe, Naval K. Verma, Chidanand Apté, ...