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WWW
2011
ACM
14 years 11 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ICFP
2008
ACM
16 years 4 months ago
Flask: staged functional programming for sensor networks
Severely resource-constrained devices present a confounding challenge to the functional programmer: we are used to having powerful ion facilities at our fingertips, but how can we...
Geoffrey Mainland, Greg Morrisett, Matt Welsh
CORR
2004
Springer
137views Education» more  CORR 2004»
15 years 3 months ago
Implementation of Logical Functions in the Game of Life
: The Game of Life cellular automaton is a classical example of a massively parallel collision-based computing device. The automaton exhibits mobile patterns, gliders, and generato...
Jean-Philippe Rennard
210
Voted
AAAI
2011
14 years 4 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
ICML
2008
IEEE
16 years 4 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...