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» Selectivity Estimation using Probabilistic Models
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IJAR
2010
97views more  IJAR 2010»
15 years 2 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
SIGIR
2012
ACM
13 years 6 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
ISQED
2000
IEEE
91views Hardware» more  ISQED 2000»
15 years 8 months ago
Probabilistic Bottom-Up RTL Power Estimation
We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and co...
Ricardo Ferreira, A.-M. Trullemans, José C....
TSP
2008
132views more  TSP 2008»
15 years 2 months ago
On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
Abstract--Channel estimation and data detection for frequencyselective time-varying channels are considered using superimposed training. We employ a discrete prolate spheroidal bas...
Shuangchi He, Jitendra K. Tugnait
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 4 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...