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» Investigation of Question Classifier in Question Answering
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105
Voted
ML
2008
ACM
101views Machine Learning» more  ML 2008»
15 years 11 days ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
95
Voted
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 24 days ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
112
Voted
TIT
2002
164views more  TIT 2002»
15 years 1 days ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
AGP
2010
IEEE
15 years 3 months ago
Agents, Multi-Agent Systems and Declarative Programming: What, When, Where, Why, Who, How?
This chapter tackles the relation between declarative languages and multi-agent systems by following the dictates of the five Ws (and one H) that characterize investigations. The ...
Matteo Baldoni, Cristina Baroglio, Viviana Mascard...
137
Voted
FAST
2009
14 years 10 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte