Sentence examples for classification challenge from inspiring English sources

However, due to the heterogeneous features of cancer cachexia, its identification and classification challenge clinical practitioners.

We tested our models on the i2b2/VA relation classification challenge dataset.

We then use Strand to classify the malware dataset used in the Kaggle Microsoft Malware Classification Challenge (BIG 2015) [19].

These results are comparable to those of the state-of-the-art systems on the i2b2/VA relation classification challenge.

The training times in Table 3 represent the time required to train on 90% of the 10,868 Malware Classification Challenge training data records (9782 training records).

To demonstrate that gene sequence classification tools are suitable for classifying malware, we apply Strand to approximately 500 GB of malware data provided by the Kaggle Microsoft Malware Classification Challenge (BIG 2015) used for predicting nine classes of polymorphic malware.

Distance 10 miles (16.1 km) Classification Challenging Duration 4 hours Begins Wetton village OS grid reference SK109555 Walk in a nutshell This hilly walk in the Peak District national park starts at the lofty stone-built village of Wetton, explores Thor's Cave and then moves south-east to Ilam Park.

Distance 21 miles (33.8 km) Classification Challenging Duration 10 hours over two days Begins Junction of Downs Link and South Downs Way Ends Southease railway station OS grid refs TQ197096, TQ432055 Walk in a nutshell This two-day walk (9 miles on day one, 12 miles on day two) along the South Downs national trail captures the essence of Britain's newest national park.

The ruling is likely to encourage other Uber drivers to make employment classification challenges, although Uber said it would appeal.

That ruling sets a precedent for other Uber drivers in the UK to bring employment classification challenges against the ride-hailing platform giant.

In practice, the radar emitter signals consist of both linearly separable samples and linearly inseparable samples, which makes classification challenging.