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ISLPED
2004
ACM
108views Hardware» more  ISLPED 2004»
16 years 2 days ago
SEPAS: a highly accurate energy-efficient branch predictor
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...
Amirali Baniasadi, Andreas Moshovos
SIGITE
2004
ACM
16 years 2 days ago
Experiences using tablet PCs in a programming laboratory
This experience report describes lessons learned using first generation tablet PCs to support active learning in an undergraduate computer science laboratory course. We learned th...
Stephen H. Edwards, N. Dwight Barnette
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 5 hour ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
SIGIR
2003
ACM
15 years 12 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
SIGIR
2003
ACM
15 years 12 months ago
Question classification using support vector machines
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Dell Zhang, Wee Sun Lee