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ICML
2004
IEEE
16 years 1 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
101
Voted
CADE
2001
Springer
16 years 25 days ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
DGO
2008
113views Education» more  DGO 2008»
15 years 2 months ago
A study in rule-specific issue categorization for e-rulemaking
We address the e-rulemaking problem of categorizing public comments according to the issues that they address. In contrast to previous text categorization research in e-rulemaking...
Claire Cardie, Cynthia Farina, Adil Aijaz, Matt Ra...
99
Voted
IFIP12
2009
14 years 10 months ago
Defining a Task's Temporal Domain for Intelligent Calendar Applications
Abstract Intelligent calendar assistants have many years ago attracted researchers from the areas of scheduling, machine learning and human computer interaction. However, all effor...
Anastasios Alexiadis, Ioannis Refanidis
ILP
2007
Springer
15 years 6 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...