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» Structured Prediction with Relative Margin
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ML
2011
ACM
308views Machine Learning» more  ML 2011»
13 years 2 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
BMCBI
2004
128views more  BMCBI 2004»
13 years 8 months ago
cuticleDB: a relational database of Arthropod cuticular proteins
Background: The insect exoskeleton or cuticle is a bi-partite composite of proteins and chitin that provides protective, skeletal and structural functions. Little information is a...
Christiana K. Magkrioti, Ioannis C. Spyropoulos, V...
SIGMOD
2009
ACM
215views Database» more  SIGMOD 2009»
14 years 8 months ago
Efficient type-ahead search on relational data: a TASTIER approach
Existing keyword-search systems in relational databases require users to submit a complete query to compute answers. Often users feel "left in the dark" when they have l...
Guoliang Li, Shengyue Ji, Chen Li, Jianhua Feng
LAMAS
2005
Springer
14 years 1 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint