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JMLR
2010
133views more  JMLR 2010»
13 years 7 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
13 years 10 months ago
Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner
The design of a hierarchical planning system in which each level operates in parallel and communicates asynchronously is presented. It is shown that this Parallel Hierarchical Repl...
Thomas Allen, Andrew Hill, James Patrick Underwood...
SMI
2010
IEEE
228views Image Analysis» more  SMI 2010»
13 years 10 months ago
Hierarchical Spline Approximation of the Signed Distance Function
We present a method to compute the medial axis of a smooth curve or surface by using PHT-spline (polynomial splines over hierarchical T-meshes) hierarchical approximation. In part...
Xinghua Song, Bert Jüttler, Adrien Poteaux
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 10 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 10 months ago
Hierarchical optimization on manifolds for online 2D and 3D mapping
Abstract— In this paper, we present a new hierarchical optimization solution to the graph-based simultaneous localization and mapping (SLAM) problem. During online mapping, the a...
Giorgio Grisetti, Rainer Kümmerle, Cyrill Sta...
TNN
1998
76views more  TNN 1998»
13 years 12 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 12 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
IR
2002
13 years 12 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
APIN
2000
87views more  APIN 2000»
14 years 4 days ago
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
Neil Davey, Rod Adams, Stella J. George
JUCS
2007
84views more  JUCS 2007»
14 years 5 days ago
Deriving Consensus for Hierarchical Incomplete Ordered Partitions and Coverings
: A method for determining consensus of hierarchical incomplete ordered partitions and coverings of sets is presented in this chapter. Incomplete ordered partitions and coverings a...
Marcin Hernes, Ngoc Thanh Nguyen