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AAAI
2008
15 years 9 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
EMNLP
2007
15 years 8 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
RSS
2007
151views Robotics» more  RSS 2007»
15 years 8 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard
RTDB
1996
84views more  RTDB 1996»
15 years 8 months ago
Performance-Polymorphic Execution of Real-Time Queries
We are developing an object-oriented real-time database system that includes a relationally complete query language. Unlike conventional query optimizers, our optimizer estimates ...
Thomas Padron-McCarthy, Tore Risch
WCE
2007
15 years 8 months ago
Statistical Analysis for Activity-Based Software Estimation using Regression Approach
Application Service Maintenance(ASM) projects mainly use Activity-Based software estimation methodology compared to Function Point or Lines of Code Estimation methodologies[1]. Th...
M. J. Basavaraj, K. C. Shet