We present a search for Standard Model Higgs Boson production in association with a W boson using 2.7 fb-1 of CDF data. We select events with a high-pT lepton, a neutrino, and two jets. At least one of the jets must be identified as a b-quark jet (tagged). We optimized two multivariate discriminants designed to separate signal from background. One discriminant uses complementary Matrix Element and Boosted Decision Tree techniques. The other uses Neural Networks. We perform binned likelihood fits of the discriminants and set 95% confidence level upper limits on the WH production cross section times branching ratio as a function of Higgs mass.
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