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» Evaluating Between-Pathway Models with Expression Data
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ISMB
2000
15 years 1 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ACL
2008
15 years 1 months ago
An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming
The traditional mention-pair model for coreference resolution cannot capture information beyond mention pairs for both learning and testing. To deal with this problem, we present ...
Xiaofeng Yang, Jian Su, Jun Lang, Chew Lim Tan, Ti...
116
Voted
KRDB
1996
123views Database» more  KRDB 1996»
15 years 29 days ago
Flexible Query-Answering Systems Modelled in Metalogic Programming
Metaprogramming adds new expressive power to logic programming which can be advantageous to transfer to the field of deductive databases. We propose metaprogramming as a way to mo...
Troels Andreasen, Henning Christiansen
EMMCVPR
2011
Springer
13 years 11 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
187
Voted
ICDE
2009
IEEE
115views Database» more  ICDE 2009»
16 years 1 months ago
Efficient Evaluation of Multiple Preference Queries
Consider multiple users searching for a hotel room, based on size, cost, distance to the beach, etc. Users may have variable preferences expressed by different weights on the attri...
Leong Hou U, Nikos Mamoulis, Kyriakos Mouratidis