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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 1 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
16 years 1 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
REFSQ
2009
Springer
16 years 1 months ago
Composing Models for Detecting Inconsistencies: A Requirements Engineering Perspective
Abstract. [Context and motivation] Ever-growing systems’ complexity and novel requirements engineering approaches such as reuse or globalization imply that requirements are produ...
Gilles Perrouin, Erwan Brottier, Benoit Baudry, Yv...
AUTONOMICS
2009
ACM
16 years 1 months ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
COMPGEOM
2009
ACM
16 years 1 months ago
Approximate center points with proofs
We present the Iterated-Tverberg algorithm, the first deterministic algorithm for computing an approximate centerpoint of a set S ∈ Rd with running time sub-exponential in d. T...
Gary L. Miller, Donald Sheehy
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