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JMLR
2010
117views more  JMLR 2010»
13 years 7 months ago
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
Xinhua Zhang, Thore Graepel, Ralf Herbrich
IJAIT
2010
167views more  IJAIT 2010»
13 years 11 months ago
Bee Colony Optimization with Local Search for Traveling Salesman Problem
Many real world industrial applications involve finding a Hamiltonian path with minimum cost. Some instances that belong to this category are transportation routing problem, scan c...
Li-Pei Wong, Malcolm Yoke-Hean Low, Chin Soon Chon...
NIPS
1994
14 years 1 months ago
Factorial Learning and the EM Algorithm
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
Zoubin Ghahramani
IADIS
2004
14 years 1 months ago
Mining Relaxed Graph Properties in Internet
Many real world datasets are represented in the form of graphs. The classical graph properties found in the data, like cliques or independent sets, can reveal new interesting info...
Wilhelmiina Hämäläinen, Hannu Toivo...
ESANN
2004
14 years 1 months ago
Neural dynamics for task-oriented grouping of communicating agents
Abstract. Many real world problems are given in the form of multiple measurements comprising local descriptions or tasks. We propose that a dynamical organization of a population o...
Jochen J. Steil
CISSE
2008
Springer
14 years 2 months ago
From Constraints to Resolution Rules Part I : conceptual framework
: Many real world problems appear naturally as constraints satisfaction problems (CSP), for which very efficient algorithms are known. Most of these involve the combination of two ...
Denis Berthier
OSDI
2004
ACM
15 years 22 days ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat