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ICML
1999
IEEE
15 years 10 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
73
Voted
ICCAD
2006
IEEE
108views Hardware» more  ICCAD 2006»
15 years 6 months ago
Formal model of data reuse analysis for hierarchical memory organizations
– In real-time data-dominated communication and multimedia processing applications, due to the manipulation of large sets of data, a multi-layer memory hierarchy is used to enhan...
Ilie I. Luican, Hongwei Zhu, Florin Balasa
CIDM
2009
IEEE
15 years 4 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
15 years 4 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh
DATE
2000
IEEE
110views Hardware» more  DATE 2000»
15 years 2 months ago
Stochastic Modeling and Performance Evaluation for Digital Clock and Data Recovery Circuits
Clock and data recovery circuits are essential components in communication systems. They directly influence the bit-error-rate performance of communication links. It is desirable...
Alper Demir, Peter Feldmann