ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
