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DIS
2009
Springer
15 years 4 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
14 years 11 months ago
Direct Density Ratio Estimation with Dimensionality Reduction
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
Masashi Sugiyama, Satoshi Hara, Paul von Büna...
NIPS
2008
14 years 11 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
AAIM
2008
Springer
131views Algorithms» more  AAIM 2008»
15 years 4 months ago
Approximating Maximum Edge 2-Coloring in Simple Graphs Via Local Improvement
We present a polynomial-time approximation algorithm for legally coloring as many edges of a given simple graph as possible using two colors. It achieves an approximation ratio of ...
Zhi-Zhong Chen, Ruka Tanahashi
MICRO
2006
IEEE
162views Hardware» more  MICRO 2006»
15 years 3 months ago
Adaptive Caches: Effective Shaping of Cache Behavior to Workloads
We present and evaluate the idea of adaptive processor cache management. Specifically, we describe a novel and general scheme by which we can combine any two cache management alg...
Ranjith Subramanian, Yannis Smaragdakis, Gabriel H...