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COLT
2005
Springer
15 years 6 months ago
Variations on U-Shaped Learning
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
Lorenzo Carlucci, Sanjay Jain, Efim B. Kinber, Fra...
ICB
2009
Springer
184views Biometrics» more  ICB 2009»
15 years 7 months ago
Challenges and Research Directions for Adaptive Biometric Recognition Systems
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such...
Norman Poh, Rita Wong, Josef Kittler, Fabio Roli
100
Voted
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 10 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
116
Voted
ICML
2007
IEEE
16 years 1 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
89
Voted
KDD
2006
ACM
127views Data Mining» more  KDD 2006»
16 years 1 months ago
Recommendation method for extending subscription periods
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada