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» Learning Instance-Specific Predictive Models
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194
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VEE
2012
ACM
322views Virtualization» more  VEE 2012»
13 years 9 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
128
Voted
MSOM
2007
118views more  MSOM 2007»
15 years 1 months ago
What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
Sergey Rumyantsev, Serguei Netessine
163
Voted
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 4 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
136
Voted
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
15 years 5 days ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
BRAIN
2010
Springer
15 years 1 months ago
Sparse Regression Models of Pain Perception
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki,...