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ICMLA
2008
14 years 11 months ago
New Insights into Learning Algorithms and Datasets
We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
Jun Won Lee, Christophe G. Giraud-Carrier
ICML
2010
IEEE
14 years 8 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
ICML
2007
IEEE
15 years 10 months ago
Learning for efficient retrieval of structured data with noisy queries
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
Charles Parker, Alan Fern, Prasad Tadepalli
ICML
2007
IEEE
15 years 10 months ago
Learning from interpretations: a rooted kernel for ordered hypergraphs
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
Gabriel Wachman, Roni Khardon
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
15 years 4 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud