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» On the Complexity of Real Functions
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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
CP
2009
Springer
16 years 7 months ago
Coalition Structure Generation Utilizing Compact Characteristic Function Representations
This paper presents a new way of formalizing the Coalition Structure Generation problem (CSG), so that we can apply constraint optimization techniques to it. Forming effective coal...
Naoki Ohta, Vincent Conitzer, Ryo Ichimura, Yuko S...
CSFW
2008
IEEE
16 years 1 months ago
Joint State Theorems for Public-Key Encryption and Digital Signature Functionalities with Local Computation
Composition theorems in simulation-based approaches allow to build complex protocols from sub-protocols in a modular way. However, as first pointed out and studied by Canetti and ...
Ralf Küsters, Max Tuengerthal
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 12 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ICCSA
2003
Springer
15 years 12 months ago
Web Visualization of Function-Defined Shapes
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Alexei Sourin, Lai Feng Min, Konstantin Levinski