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ICML
2005
IEEE
16 years 1 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
95
Voted
PR
2007
104views more  PR 2007»
15 years 7 days ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
14 years 10 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
105
Voted
SCAM
2006
IEEE
15 years 6 months ago
Constructing Accurate Application Call Graphs For Java To Model Library Callbacks
Call graphs are widely used to represent calling relationships among methods. However, there is not much interest in calling relationships among library methods in many software e...
Weilei Zhang, Barbara G. Ryder
BROADNETS
2004
IEEE
15 years 4 months ago
The Effects of the Sub-Carrier Grouping on Multi-Carrier Channel Aware Scheduling
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Fanchun Jin, Gokhan Sahin, Amrinder Arora, Hyeong-...