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» Structured machine learning: the next ten years
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ICML
2007
IEEE
16 years 14 days ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
15 years 5 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
IPCC
1998
92views more  IPCC 1998»
15 years 1 months ago
Evaluating Distance Learning in Graduate Programs: Ensuring Rigorous, Rewarding Professional Education
: Internet-based distance learning programs make it possible for technical communicators located anywhere in the world to participate in graduate courses in their field. But are th...
George F. Hayhoe
JMLR
2010
187views more  JMLR 2010»
14 years 6 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
ECIR
2010
Springer
14 years 9 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins