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IJCAI
2001
14 years 11 months ago
Adaptive Information Extraction from Text by Rule Induction and Generalisation
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
Fabio Ciravegna
EMNLP
2009
14 years 7 months ago
Discovery of Term Variation in Japanese Web Search Queries
In this paper we address the problem of identifying a broad range of term variations in Japanese web search queries, where these variations pose a particularly thorny problem due ...
Hisami Suzuki, Xiao Li, Jianfeng Gao
DAC
2008
ACM
15 years 10 months ago
Parallel programming: can we PLEASE get it right this time?
The computer industry has a problem. As Moore's law marches on, we will be exploiting it to double cores, not frequencies. But all those cores ... 2 to 4 today growing to 8, ...
Tim Mattson, Michael Wrinn
STACS
1999
Springer
15 years 2 months ago
Costs of General Purpose Learning
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
John Case, Keh-Jiann Chen, Sanjay Jain
NIPS
2001
14 years 11 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio