Sciweavers

874 search results - page 67 / 175
» Iterative Learning Control - Monotonicity and Optimization
Sort
View
ACL
1998
14 years 11 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 2 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 10 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
FLAIRS
2004
14 years 11 months ago
Prototype Based Classifier Design with Pruning
An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...
Jiang Li, Michael T. Manry, Changhua Yu
IWSOS
2009
Springer
15 years 4 months ago
A Distributed Range Assignment Protocol
We present a new distributed algorithm for creating and maintaining power-efficient topologies in a wireless network. The wireless nodes establish links to neighbouring nodes in a ...
Steffen Wolf, Tom Ansay, Peter Merz