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» Evaluating machine learning for information extraction
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VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 8 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
CHI
2008
ACM
16 years 2 months ago
Investigating statistical machine learning as a tool for software development
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...
Kayur Patel, James Fogarty, James A. Landay, Bever...
100
Voted
ICALT
2008
IEEE
15 years 8 months ago
Adapting an Educational Game for Spanish Orthography to make it Adaptive and Accessible
This paper explains SAMO, an educational game for Spanish orthography. The game is an evolution of MITO, which was evaluated with real students. Using information obtained from th...
Cristina Carmona, David Bueno, Miguel A. Jim&eacut...
93
Voted
IR
2010
15 years 10 days ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
COLING
2000
15 years 3 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis