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WMTE
2002
IEEE
14 years 2 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»
13 years 9 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
13 years 11 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»
14 years 10 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»
14 years 10 months ago
Cross channel optimized marketing by reinforcement learning
Naoki Abe, Naval K. Verma, Chidanand Apté, ...