Sentence examples for this problem stemmed from from inspiring English sources

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This problem stemmed from the fact that decision tree assigns each HMM state to an only one cluster (small region in contextual space), therefore, each state contributes in modeling just one distribution.

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This problem stems from survivable telecommunication network design with grade-of-service constraints.

Humans tend to ignore destructive long term trends, and researchers have found that this problem stems from the way that the human brain functions.

This problem stems from a real application with operational constraints such as dual homing and hop limit per ring.

The potential availability of analytical treatment of this problem stems from the smallness of mass of the star and cluster relative to the galactic mass, giving rise to Hill's restricted three-body problem in the galaxy cluster star context.

The importance of this problem stems from the fact that it constitutes the backbone of many network design problems having applications in several areas including telecommunication, energy, and distribution planning.

Part of this problem stems from the complex and heterogeneous nature of most sandstone rocks.

Based on the authors study, this problem stems from the large minimum congestion window of Vegas, large reset slow start threshold and aggressive window increase policy.

Although the criterion in (11) is convex, a major difficulty that arises in solving this problem stems from the fact that the function to be minimized is not differentiable.

Part of this problem stems from a divide between the need to run batch queries on historical data, which Hadoop is good at, and the need to process incoming streams of data for actionable intelligence, which is what Storm is built for.

This problem stems from the fact that the hard decision tree structure assigns each model parameter to exactly one cluster (corresponding to a small part of the large contextual space): each training sample contributes to the estimation of only one set of model parameters (one mean vector and one covariance matrix).

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