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» Generality Is Predictive of Prediction Accuracy
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 7 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
RTAS
2005
IEEE
15 years 10 months ago
Bounding Worst-Case Data Cache Behavior by Analytically Deriving Cache Reference Patterns
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
Harini Ramaprasad, Frank Mueller
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 9 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
KDD
2010
ACM
190views Data Mining» more  KDD 2010»
15 years 8 months ago
User browsing models: relevance versus examination
There has been considerable work on user browsing models for search engine results, both organic and sponsored. The click-through rate (CTR) of a result is the product of the prob...
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl ...
CORR
2010
Springer
169views Education» more  CORR 2010»
14 years 11 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda