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» Using Learning for Approximation in Stochastic Processes
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IUI
2005
ACM
15 years 8 months ago
Intelligent data entry assistant for XML using ensemble learning
XML has emerged as the primary standard of data representation and data exchange [13]. Although many software tools exist to assist the XML implementation process, data must be ma...
Danico Lee, Costas Tsatsoulis
ICASSP
2008
IEEE
15 years 8 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
148
Voted
ICML
1999
IEEE
16 years 3 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
ICC
2007
IEEE
165views Communications» more  ICC 2007»
15 years 8 months ago
Throughput and Delay Analysis of Multihop IEEE 802.11 Networks with Capture
In this paper, we present an analytical model for the approximate calculation of the throughput and end-toend delay performance in single hop and multihop IEEE 802.11 networks unde...
Rima Khalaf, Izhak Rubin, Ju-Lan Hsu
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 6 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...